Instructions to use minhnhat136/deepseek_1b_sql with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use minhnhat136/deepseek_1b_sql with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("deepseek-ai/deepseek-coder-1.3b-instruct") model = PeftModel.from_pretrained(base_model, "minhnhat136/deepseek_1b_sql") - Notebooks
- Google Colab
- Kaggle
Upload 13 files
Browse files- README.md +202 -0
- adapter_config.json +34 -0
- adapter_model.safetensors +3 -0
- optimizer.pt +3 -0
- rng_state_0.pth +3 -0
- rng_state_1.pth +3 -0
- rng_state_2.pth +3 -0
- scheduler.pt +3 -0
- special_tokens_map.json +23 -0
- tokenizer.json +0 -0
- tokenizer_config.json +196 -0
- trainer_state.json +3393 -0
- training_args.bin +3 -0
README.md
ADDED
|
@@ -0,0 +1,202 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
base_model: deepseek-ai/deepseek-coder-1.3b-instruct
|
| 3 |
+
library_name: peft
|
| 4 |
+
---
|
| 5 |
+
|
| 6 |
+
# Model Card for Model ID
|
| 7 |
+
|
| 8 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
| 9 |
+
|
| 10 |
+
|
| 11 |
+
|
| 12 |
+
## Model Details
|
| 13 |
+
|
| 14 |
+
### Model Description
|
| 15 |
+
|
| 16 |
+
<!-- Provide a longer summary of what this model is. -->
|
| 17 |
+
|
| 18 |
+
|
| 19 |
+
|
| 20 |
+
- **Developed by:** [More Information Needed]
|
| 21 |
+
- **Funded by [optional]:** [More Information Needed]
|
| 22 |
+
- **Shared by [optional]:** [More Information Needed]
|
| 23 |
+
- **Model type:** [More Information Needed]
|
| 24 |
+
- **Language(s) (NLP):** [More Information Needed]
|
| 25 |
+
- **License:** [More Information Needed]
|
| 26 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
| 27 |
+
|
| 28 |
+
### Model Sources [optional]
|
| 29 |
+
|
| 30 |
+
<!-- Provide the basic links for the model. -->
|
| 31 |
+
|
| 32 |
+
- **Repository:** [More Information Needed]
|
| 33 |
+
- **Paper [optional]:** [More Information Needed]
|
| 34 |
+
- **Demo [optional]:** [More Information Needed]
|
| 35 |
+
|
| 36 |
+
## Uses
|
| 37 |
+
|
| 38 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
| 39 |
+
|
| 40 |
+
### Direct Use
|
| 41 |
+
|
| 42 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 43 |
+
|
| 44 |
+
[More Information Needed]
|
| 45 |
+
|
| 46 |
+
### Downstream Use [optional]
|
| 47 |
+
|
| 48 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 49 |
+
|
| 50 |
+
[More Information Needed]
|
| 51 |
+
|
| 52 |
+
### Out-of-Scope Use
|
| 53 |
+
|
| 54 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 55 |
+
|
| 56 |
+
[More Information Needed]
|
| 57 |
+
|
| 58 |
+
## Bias, Risks, and Limitations
|
| 59 |
+
|
| 60 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 61 |
+
|
| 62 |
+
[More Information Needed]
|
| 63 |
+
|
| 64 |
+
### Recommendations
|
| 65 |
+
|
| 66 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
| 67 |
+
|
| 68 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
| 69 |
+
|
| 70 |
+
## How to Get Started with the Model
|
| 71 |
+
|
| 72 |
+
Use the code below to get started with the model.
|
| 73 |
+
|
| 74 |
+
[More Information Needed]
|
| 75 |
+
|
| 76 |
+
## Training Details
|
| 77 |
+
|
| 78 |
+
### Training Data
|
| 79 |
+
|
| 80 |
+
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
|
| 81 |
+
|
| 82 |
+
[More Information Needed]
|
| 83 |
+
|
| 84 |
+
### Training Procedure
|
| 85 |
+
|
| 86 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
| 87 |
+
|
| 88 |
+
#### Preprocessing [optional]
|
| 89 |
+
|
| 90 |
+
[More Information Needed]
|
| 91 |
+
|
| 92 |
+
|
| 93 |
+
#### Training Hyperparameters
|
| 94 |
+
|
| 95 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
| 96 |
+
|
| 97 |
+
#### Speeds, Sizes, Times [optional]
|
| 98 |
+
|
| 99 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
| 100 |
+
|
| 101 |
+
[More Information Needed]
|
| 102 |
+
|
| 103 |
+
## Evaluation
|
| 104 |
+
|
| 105 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
| 106 |
+
|
| 107 |
+
### Testing Data, Factors & Metrics
|
| 108 |
+
|
| 109 |
+
#### Testing Data
|
| 110 |
+
|
| 111 |
+
<!-- This should link to a Dataset Card if possible. -->
|
| 112 |
+
|
| 113 |
+
[More Information Needed]
|
| 114 |
+
|
| 115 |
+
#### Factors
|
| 116 |
+
|
| 117 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
| 118 |
+
|
| 119 |
+
[More Information Needed]
|
| 120 |
+
|
| 121 |
+
#### Metrics
|
| 122 |
+
|
| 123 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
| 124 |
+
|
| 125 |
+
[More Information Needed]
|
| 126 |
+
|
| 127 |
+
### Results
|
| 128 |
+
|
| 129 |
+
[More Information Needed]
|
| 130 |
+
|
| 131 |
+
#### Summary
|
| 132 |
+
|
| 133 |
+
|
| 134 |
+
|
| 135 |
+
## Model Examination [optional]
|
| 136 |
+
|
| 137 |
+
<!-- Relevant interpretability work for the model goes here -->
|
| 138 |
+
|
| 139 |
+
[More Information Needed]
|
| 140 |
+
|
| 141 |
+
## Environmental Impact
|
| 142 |
+
|
| 143 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 144 |
+
|
| 145 |
+
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
|
| 146 |
+
|
| 147 |
+
- **Hardware Type:** [More Information Needed]
|
| 148 |
+
- **Hours used:** [More Information Needed]
|
| 149 |
+
- **Cloud Provider:** [More Information Needed]
|
| 150 |
+
- **Compute Region:** [More Information Needed]
|
| 151 |
+
- **Carbon Emitted:** [More Information Needed]
|
| 152 |
+
|
| 153 |
+
## Technical Specifications [optional]
|
| 154 |
+
|
| 155 |
+
### Model Architecture and Objective
|
| 156 |
+
|
| 157 |
+
[More Information Needed]
|
| 158 |
+
|
| 159 |
+
### Compute Infrastructure
|
| 160 |
+
|
| 161 |
+
[More Information Needed]
|
| 162 |
+
|
| 163 |
+
#### Hardware
|
| 164 |
+
|
| 165 |
+
[More Information Needed]
|
| 166 |
+
|
| 167 |
+
#### Software
|
| 168 |
+
|
| 169 |
+
[More Information Needed]
|
| 170 |
+
|
| 171 |
+
## Citation [optional]
|
| 172 |
+
|
| 173 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
| 174 |
+
|
| 175 |
+
**BibTeX:**
|
| 176 |
+
|
| 177 |
+
[More Information Needed]
|
| 178 |
+
|
| 179 |
+
**APA:**
|
| 180 |
+
|
| 181 |
+
[More Information Needed]
|
| 182 |
+
|
| 183 |
+
## Glossary [optional]
|
| 184 |
+
|
| 185 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 186 |
+
|
| 187 |
+
[More Information Needed]
|
| 188 |
+
|
| 189 |
+
## More Information [optional]
|
| 190 |
+
|
| 191 |
+
[More Information Needed]
|
| 192 |
+
|
| 193 |
+
## Model Card Authors [optional]
|
| 194 |
+
|
| 195 |
+
[More Information Needed]
|
| 196 |
+
|
| 197 |
+
## Model Card Contact
|
| 198 |
+
|
| 199 |
+
[More Information Needed]
|
| 200 |
+
### Framework versions
|
| 201 |
+
|
| 202 |
+
- PEFT 0.12.0
|
adapter_config.json
ADDED
|
@@ -0,0 +1,34 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"alpha_pattern": {},
|
| 3 |
+
"auto_mapping": null,
|
| 4 |
+
"base_model_name_or_path": "/data/thanhnd17/llms_finetune/models/models--deepseek-ai--deepseek-coder-1.3b-instruct/snapshots/e063262dac8366fc1f28a4da0ff3c50ea66259ca",
|
| 5 |
+
"bias": "none",
|
| 6 |
+
"fan_in_fan_out": false,
|
| 7 |
+
"inference_mode": true,
|
| 8 |
+
"init_lora_weights": true,
|
| 9 |
+
"layer_replication": null,
|
| 10 |
+
"layers_pattern": null,
|
| 11 |
+
"layers_to_transform": null,
|
| 12 |
+
"loftq_config": {},
|
| 13 |
+
"lora_alpha": 128,
|
| 14 |
+
"lora_dropout": 0.0,
|
| 15 |
+
"megatron_config": null,
|
| 16 |
+
"megatron_core": "megatron.core",
|
| 17 |
+
"modules_to_save": null,
|
| 18 |
+
"peft_type": "LORA",
|
| 19 |
+
"r": 64,
|
| 20 |
+
"rank_pattern": {},
|
| 21 |
+
"revision": null,
|
| 22 |
+
"target_modules": [
|
| 23 |
+
"o_proj",
|
| 24 |
+
"q_proj",
|
| 25 |
+
"k_proj",
|
| 26 |
+
"v_proj",
|
| 27 |
+
"gate_proj",
|
| 28 |
+
"down_proj",
|
| 29 |
+
"up_proj"
|
| 30 |
+
],
|
| 31 |
+
"task_type": "CAUSAL_LM",
|
| 32 |
+
"use_dora": false,
|
| 33 |
+
"use_rslora": true
|
| 34 |
+
}
|
adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:26b7ccb0e9c5b5bab07cc8fbd2ea6fd1cd22935245377c12bb64237a4b6f2c15
|
| 3 |
+
size 239906848
|
optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:ad2aa0d9caacbfeceba37361f403f991eecfa9e8d41b9a68100e6f0ef83ef0ce
|
| 3 |
+
size 480006786
|
rng_state_0.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:b6e8f864f49788ce7b617fae7b4570bd2ed2676424c10afa12f8f2bc0c5d10f2
|
| 3 |
+
size 14768
|
rng_state_1.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:829aa8a9708a99d0c1af61f5e1134ef8cece61aaa32d89d78cf029b2f0a1a6ec
|
| 3 |
+
size 14768
|
rng_state_2.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:8697f5db1bede9a2a1bf81e1d26ab6e778c8268c124716d046afe55aa7974b1a
|
| 3 |
+
size 14768
|
scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:bd97df55cc774293fb6901986fbe287436cd2d60336b68b79ac037f945817d58
|
| 3 |
+
size 1064
|
special_tokens_map.json
ADDED
|
@@ -0,0 +1,23 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"bos_token": {
|
| 3 |
+
"content": "<|begin▁of▁sentence|>",
|
| 4 |
+
"lstrip": false,
|
| 5 |
+
"normalized": true,
|
| 6 |
+
"rstrip": false,
|
| 7 |
+
"single_word": false
|
| 8 |
+
},
|
| 9 |
+
"eos_token": {
|
| 10 |
+
"content": "<|EOT|>",
|
| 11 |
+
"lstrip": false,
|
| 12 |
+
"normalized": true,
|
| 13 |
+
"rstrip": false,
|
| 14 |
+
"single_word": false
|
| 15 |
+
},
|
| 16 |
+
"pad_token": {
|
| 17 |
+
"content": "<|end▁of▁sentence|>",
|
| 18 |
+
"lstrip": false,
|
| 19 |
+
"normalized": true,
|
| 20 |
+
"rstrip": false,
|
| 21 |
+
"single_word": false
|
| 22 |
+
}
|
| 23 |
+
}
|
tokenizer.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
tokenizer_config.json
ADDED
|
@@ -0,0 +1,196 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"add_bos_token": true,
|
| 3 |
+
"add_eos_token": false,
|
| 4 |
+
"add_prefix_space": null,
|
| 5 |
+
"added_tokens_decoder": {
|
| 6 |
+
"32000": {
|
| 7 |
+
"content": "õ",
|
| 8 |
+
"lstrip": false,
|
| 9 |
+
"normalized": true,
|
| 10 |
+
"rstrip": false,
|
| 11 |
+
"single_word": false,
|
| 12 |
+
"special": false
|
| 13 |
+
},
|
| 14 |
+
"32001": {
|
| 15 |
+
"content": "÷",
|
| 16 |
+
"lstrip": false,
|
| 17 |
+
"normalized": true,
|
| 18 |
+
"rstrip": false,
|
| 19 |
+
"single_word": false,
|
| 20 |
+
"special": false
|
| 21 |
+
},
|
| 22 |
+
"32002": {
|
| 23 |
+
"content": "Á",
|
| 24 |
+
"lstrip": false,
|
| 25 |
+
"normalized": true,
|
| 26 |
+
"rstrip": false,
|
| 27 |
+
"single_word": false,
|
| 28 |
+
"special": false
|
| 29 |
+
},
|
| 30 |
+
"32003": {
|
| 31 |
+
"content": "ý",
|
| 32 |
+
"lstrip": false,
|
| 33 |
+
"normalized": true,
|
| 34 |
+
"rstrip": false,
|
| 35 |
+
"single_word": false,
|
| 36 |
+
"special": false
|
| 37 |
+
},
|
| 38 |
+
"32004": {
|
| 39 |
+
"content": "À",
|
| 40 |
+
"lstrip": false,
|
| 41 |
+
"normalized": true,
|
| 42 |
+
"rstrip": false,
|
| 43 |
+
"single_word": false,
|
| 44 |
+
"special": false
|
| 45 |
+
},
|
| 46 |
+
"32005": {
|
| 47 |
+
"content": "ÿ",
|
| 48 |
+
"lstrip": false,
|
| 49 |
+
"normalized": true,
|
| 50 |
+
"rstrip": false,
|
| 51 |
+
"single_word": false,
|
| 52 |
+
"special": false
|
| 53 |
+
},
|
| 54 |
+
"32006": {
|
| 55 |
+
"content": "ø",
|
| 56 |
+
"lstrip": false,
|
| 57 |
+
"normalized": true,
|
| 58 |
+
"rstrip": false,
|
| 59 |
+
"single_word": false,
|
| 60 |
+
"special": false
|
| 61 |
+
},
|
| 62 |
+
"32007": {
|
| 63 |
+
"content": "ú",
|
| 64 |
+
"lstrip": false,
|
| 65 |
+
"normalized": true,
|
| 66 |
+
"rstrip": false,
|
| 67 |
+
"single_word": false,
|
| 68 |
+
"special": false
|
| 69 |
+
},
|
| 70 |
+
"32008": {
|
| 71 |
+
"content": "þ",
|
| 72 |
+
"lstrip": false,
|
| 73 |
+
"normalized": true,
|
| 74 |
+
"rstrip": false,
|
| 75 |
+
"single_word": false,
|
| 76 |
+
"special": false
|
| 77 |
+
},
|
| 78 |
+
"32009": {
|
| 79 |
+
"content": "ü",
|
| 80 |
+
"lstrip": false,
|
| 81 |
+
"normalized": true,
|
| 82 |
+
"rstrip": false,
|
| 83 |
+
"single_word": false,
|
| 84 |
+
"special": false
|
| 85 |
+
},
|
| 86 |
+
"32010": {
|
| 87 |
+
"content": "ù",
|
| 88 |
+
"lstrip": false,
|
| 89 |
+
"normalized": true,
|
| 90 |
+
"rstrip": false,
|
| 91 |
+
"single_word": false,
|
| 92 |
+
"special": false
|
| 93 |
+
},
|
| 94 |
+
"32011": {
|
| 95 |
+
"content": "ö",
|
| 96 |
+
"lstrip": false,
|
| 97 |
+
"normalized": true,
|
| 98 |
+
"rstrip": false,
|
| 99 |
+
"single_word": false,
|
| 100 |
+
"special": false
|
| 101 |
+
},
|
| 102 |
+
"32012": {
|
| 103 |
+
"content": "û",
|
| 104 |
+
"lstrip": false,
|
| 105 |
+
"normalized": true,
|
| 106 |
+
"rstrip": false,
|
| 107 |
+
"single_word": false,
|
| 108 |
+
"special": false
|
| 109 |
+
},
|
| 110 |
+
"32013": {
|
| 111 |
+
"content": "<|begin▁of▁sentence|>",
|
| 112 |
+
"lstrip": false,
|
| 113 |
+
"normalized": true,
|
| 114 |
+
"rstrip": false,
|
| 115 |
+
"single_word": false,
|
| 116 |
+
"special": true
|
| 117 |
+
},
|
| 118 |
+
"32014": {
|
| 119 |
+
"content": "<|end▁of▁sentence|>",
|
| 120 |
+
"lstrip": false,
|
| 121 |
+
"normalized": true,
|
| 122 |
+
"rstrip": false,
|
| 123 |
+
"single_word": false,
|
| 124 |
+
"special": true
|
| 125 |
+
},
|
| 126 |
+
"32015": {
|
| 127 |
+
"content": "<|fim▁hole|>",
|
| 128 |
+
"lstrip": false,
|
| 129 |
+
"normalized": true,
|
| 130 |
+
"rstrip": false,
|
| 131 |
+
"single_word": false,
|
| 132 |
+
"special": false
|
| 133 |
+
},
|
| 134 |
+
"32016": {
|
| 135 |
+
"content": "<|fim▁begin|>",
|
| 136 |
+
"lstrip": false,
|
| 137 |
+
"normalized": true,
|
| 138 |
+
"rstrip": false,
|
| 139 |
+
"single_word": false,
|
| 140 |
+
"special": false
|
| 141 |
+
},
|
| 142 |
+
"32017": {
|
| 143 |
+
"content": "<|fim▁end|>",
|
| 144 |
+
"lstrip": false,
|
| 145 |
+
"normalized": true,
|
| 146 |
+
"rstrip": false,
|
| 147 |
+
"single_word": false,
|
| 148 |
+
"special": false
|
| 149 |
+
},
|
| 150 |
+
"32018": {
|
| 151 |
+
"content": "<pad>",
|
| 152 |
+
"lstrip": false,
|
| 153 |
+
"normalized": true,
|
| 154 |
+
"rstrip": false,
|
| 155 |
+
"single_word": false,
|
| 156 |
+
"special": false
|
| 157 |
+
},
|
| 158 |
+
"32019": {
|
| 159 |
+
"content": "<|User|>",
|
| 160 |
+
"lstrip": false,
|
| 161 |
+
"normalized": true,
|
| 162 |
+
"rstrip": false,
|
| 163 |
+
"single_word": false,
|
| 164 |
+
"special": false
|
| 165 |
+
},
|
| 166 |
+
"32020": {
|
| 167 |
+
"content": "<|Assistant|>",
|
| 168 |
+
"lstrip": false,
|
| 169 |
+
"normalized": true,
|
| 170 |
+
"rstrip": false,
|
| 171 |
+
"single_word": false,
|
| 172 |
+
"special": false
|
| 173 |
+
},
|
| 174 |
+
"32021": {
|
| 175 |
+
"content": "<|EOT|>",
|
| 176 |
+
"lstrip": false,
|
| 177 |
+
"normalized": true,
|
| 178 |
+
"rstrip": false,
|
| 179 |
+
"single_word": false,
|
| 180 |
+
"special": true
|
| 181 |
+
}
|
| 182 |
+
},
|
| 183 |
+
"bos_token": "<|begin▁of▁sentence|>",
|
| 184 |
+
"chat_template": "{{ '<|begin▁of▁sentence|>' }}{% set system_message = 'You are an AI programming assistant, utilizing the DeepSeek Coder model, developed by DeepSeek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer.\n' %}{% if messages[0]['role'] == 'system' %}{% set loop_messages = messages[1:] %}{% set system_message = messages[0]['content'] %}{% else %}{% set loop_messages = messages %}{% endif %}{% if system_message is defined %}{{ system_message }}{% endif %}{% for message in loop_messages %}{% set content = message['content'] %}{% if message['role'] == 'user' %}{{ '### Instruction:\n' + content + '\n### Response:' }}{% elif message['role'] == 'assistant' %}{{ '\n' + content + '\n<|EOT|>' + '\n' }}{% endif %}{% endfor %}",
|
| 185 |
+
"clean_up_tokenization_spaces": false,
|
| 186 |
+
"eos_token": "<|EOT|>",
|
| 187 |
+
"legacy": true,
|
| 188 |
+
"model_max_length": 16384,
|
| 189 |
+
"pad_token": "<|end▁of▁sentence|>",
|
| 190 |
+
"padding_side": "right",
|
| 191 |
+
"sp_model_kwargs": {},
|
| 192 |
+
"split_special_tokens": false,
|
| 193 |
+
"tokenizer_class": "LlamaTokenizer",
|
| 194 |
+
"unk_token": null,
|
| 195 |
+
"use_default_system_prompt": false
|
| 196 |
+
}
|
trainer_state.json
ADDED
|
@@ -0,0 +1,3393 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": null,
|
| 3 |
+
"best_model_checkpoint": null,
|
| 4 |
+
"epoch": 8.061420345489443,
|
| 5 |
+
"eval_steps": 500,
|
| 6 |
+
"global_step": 2100,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 0.019193857965451054,
|
| 13 |
+
"grad_norm": 1.0817455053329468,
|
| 14 |
+
"learning_rate": 4.9999436730259053e-05,
|
| 15 |
+
"loss": 0.2614,
|
| 16 |
+
"num_input_tokens_seen": 933376,
|
| 17 |
+
"step": 5
|
| 18 |
+
},
|
| 19 |
+
{
|
| 20 |
+
"epoch": 0.03838771593090211,
|
| 21 |
+
"grad_norm": 0.6683880686759949,
|
| 22 |
+
"learning_rate": 4.999774694641803e-05,
|
| 23 |
+
"loss": 0.1894,
|
| 24 |
+
"num_input_tokens_seen": 1884800,
|
| 25 |
+
"step": 10
|
| 26 |
+
},
|
| 27 |
+
{
|
| 28 |
+
"epoch": 0.05758157389635317,
|
| 29 |
+
"grad_norm": 0.6495689153671265,
|
| 30 |
+
"learning_rate": 4.999493072462126e-05,
|
| 31 |
+
"loss": 0.1836,
|
| 32 |
+
"num_input_tokens_seen": 2847104,
|
| 33 |
+
"step": 15
|
| 34 |
+
},
|
| 35 |
+
{
|
| 36 |
+
"epoch": 0.07677543186180422,
|
| 37 |
+
"grad_norm": 0.5534822940826416,
|
| 38 |
+
"learning_rate": 4.999098819177214e-05,
|
| 39 |
+
"loss": 0.1759,
|
| 40 |
+
"num_input_tokens_seen": 3780480,
|
| 41 |
+
"step": 20
|
| 42 |
+
},
|
| 43 |
+
{
|
| 44 |
+
"epoch": 0.09596928982725528,
|
| 45 |
+
"grad_norm": 0.5017605423927307,
|
| 46 |
+
"learning_rate": 4.9985919525527434e-05,
|
| 47 |
+
"loss": 0.1705,
|
| 48 |
+
"num_input_tokens_seen": 4742272,
|
| 49 |
+
"step": 25
|
| 50 |
+
},
|
| 51 |
+
{
|
| 52 |
+
"epoch": 0.11516314779270634,
|
| 53 |
+
"grad_norm": 0.4681239128112793,
|
| 54 |
+
"learning_rate": 4.9979724954289244e-05,
|
| 55 |
+
"loss": 0.1722,
|
| 56 |
+
"num_input_tokens_seen": 5687424,
|
| 57 |
+
"step": 30
|
| 58 |
+
},
|
| 59 |
+
{
|
| 60 |
+
"epoch": 0.1343570057581574,
|
| 61 |
+
"grad_norm": 0.48403823375701904,
|
| 62 |
+
"learning_rate": 4.9972404757194736e-05,
|
| 63 |
+
"loss": 0.1696,
|
| 64 |
+
"num_input_tokens_seen": 6600832,
|
| 65 |
+
"step": 35
|
| 66 |
+
},
|
| 67 |
+
{
|
| 68 |
+
"epoch": 0.15355086372360843,
|
| 69 |
+
"grad_norm": 0.48744267225265503,
|
| 70 |
+
"learning_rate": 4.9963959264103544e-05,
|
| 71 |
+
"loss": 0.1638,
|
| 72 |
+
"num_input_tokens_seen": 7545344,
|
| 73 |
+
"step": 40
|
| 74 |
+
},
|
| 75 |
+
{
|
| 76 |
+
"epoch": 0.1727447216890595,
|
| 77 |
+
"grad_norm": 0.4389607608318329,
|
| 78 |
+
"learning_rate": 4.995438885558294e-05,
|
| 79 |
+
"loss": 0.1606,
|
| 80 |
+
"num_input_tokens_seen": 8489728,
|
| 81 |
+
"step": 45
|
| 82 |
+
},
|
| 83 |
+
{
|
| 84 |
+
"epoch": 0.19193857965451055,
|
| 85 |
+
"grad_norm": 0.4652620851993561,
|
| 86 |
+
"learning_rate": 4.994369396289063e-05,
|
| 87 |
+
"loss": 0.1606,
|
| 88 |
+
"num_input_tokens_seen": 9426304,
|
| 89 |
+
"step": 50
|
| 90 |
+
},
|
| 91 |
+
{
|
| 92 |
+
"epoch": 0.21113243761996162,
|
| 93 |
+
"grad_norm": 0.48464274406433105,
|
| 94 |
+
"learning_rate": 4.993187506795538e-05,
|
| 95 |
+
"loss": 0.1661,
|
| 96 |
+
"num_input_tokens_seen": 10372608,
|
| 97 |
+
"step": 55
|
| 98 |
+
},
|
| 99 |
+
{
|
| 100 |
+
"epoch": 0.23032629558541268,
|
| 101 |
+
"grad_norm": 0.4516374468803406,
|
| 102 |
+
"learning_rate": 4.9918932703355256e-05,
|
| 103 |
+
"loss": 0.1629,
|
| 104 |
+
"num_input_tokens_seen": 11298944,
|
| 105 |
+
"step": 60
|
| 106 |
+
},
|
| 107 |
+
{
|
| 108 |
+
"epoch": 0.2495201535508637,
|
| 109 |
+
"grad_norm": 0.44246649742126465,
|
| 110 |
+
"learning_rate": 4.990486745229364e-05,
|
| 111 |
+
"loss": 0.1573,
|
| 112 |
+
"num_input_tokens_seen": 12230784,
|
| 113 |
+
"step": 65
|
| 114 |
+
},
|
| 115 |
+
{
|
| 116 |
+
"epoch": 0.2687140115163148,
|
| 117 |
+
"grad_norm": 0.4362417459487915,
|
| 118 |
+
"learning_rate": 4.9889679948572974e-05,
|
| 119 |
+
"loss": 0.1548,
|
| 120 |
+
"num_input_tokens_seen": 13177856,
|
| 121 |
+
"step": 70
|
| 122 |
+
},
|
| 123 |
+
{
|
| 124 |
+
"epoch": 0.28790786948176583,
|
| 125 |
+
"grad_norm": 0.46021828055381775,
|
| 126 |
+
"learning_rate": 4.987337087656614e-05,
|
| 127 |
+
"loss": 0.1536,
|
| 128 |
+
"num_input_tokens_seen": 14148864,
|
| 129 |
+
"step": 75
|
| 130 |
+
},
|
| 131 |
+
{
|
| 132 |
+
"epoch": 0.30710172744721687,
|
| 133 |
+
"grad_norm": 0.43709027767181396,
|
| 134 |
+
"learning_rate": 4.98559409711857e-05,
|
| 135 |
+
"loss": 0.1615,
|
| 136 |
+
"num_input_tokens_seen": 15136256,
|
| 137 |
+
"step": 80
|
| 138 |
+
},
|
| 139 |
+
{
|
| 140 |
+
"epoch": 0.32629558541266795,
|
| 141 |
+
"grad_norm": 0.4331000745296478,
|
| 142 |
+
"learning_rate": 4.983739101785071e-05,
|
| 143 |
+
"loss": 0.1593,
|
| 144 |
+
"num_input_tokens_seen": 16088064,
|
| 145 |
+
"step": 85
|
| 146 |
+
},
|
| 147 |
+
{
|
| 148 |
+
"epoch": 0.345489443378119,
|
| 149 |
+
"grad_norm": 0.40528881549835205,
|
| 150 |
+
"learning_rate": 4.981772185245135e-05,
|
| 151 |
+
"loss": 0.1509,
|
| 152 |
+
"num_input_tokens_seen": 17043840,
|
| 153 |
+
"step": 90
|
| 154 |
+
},
|
| 155 |
+
{
|
| 156 |
+
"epoch": 0.3646833013435701,
|
| 157 |
+
"grad_norm": 0.42082345485687256,
|
| 158 |
+
"learning_rate": 4.97969343613113e-05,
|
| 159 |
+
"loss": 0.1518,
|
| 160 |
+
"num_input_tokens_seen": 17986816,
|
| 161 |
+
"step": 95
|
| 162 |
+
},
|
| 163 |
+
{
|
| 164 |
+
"epoch": 0.3838771593090211,
|
| 165 |
+
"grad_norm": 0.4149463176727295,
|
| 166 |
+
"learning_rate": 4.977502948114772e-05,
|
| 167 |
+
"loss": 0.1558,
|
| 168 |
+
"num_input_tokens_seen": 18904192,
|
| 169 |
+
"step": 100
|
| 170 |
+
},
|
| 171 |
+
{
|
| 172 |
+
"epoch": 0.40307101727447214,
|
| 173 |
+
"grad_norm": 0.41713905334472656,
|
| 174 |
+
"learning_rate": 4.97520081990291e-05,
|
| 175 |
+
"loss": 0.152,
|
| 176 |
+
"num_input_tokens_seen": 19854720,
|
| 177 |
+
"step": 105
|
| 178 |
+
},
|
| 179 |
+
{
|
| 180 |
+
"epoch": 0.42226487523992323,
|
| 181 |
+
"grad_norm": 0.4443305432796478,
|
| 182 |
+
"learning_rate": 4.9727871552330794e-05,
|
| 183 |
+
"loss": 0.15,
|
| 184 |
+
"num_input_tokens_seen": 20807040,
|
| 185 |
+
"step": 110
|
| 186 |
+
},
|
| 187 |
+
{
|
| 188 |
+
"epoch": 0.44145873320537427,
|
| 189 |
+
"grad_norm": 0.4278104603290558,
|
| 190 |
+
"learning_rate": 4.97026206286882e-05,
|
| 191 |
+
"loss": 0.1563,
|
| 192 |
+
"num_input_tokens_seen": 21742080,
|
| 193 |
+
"step": 115
|
| 194 |
+
},
|
| 195 |
+
{
|
| 196 |
+
"epoch": 0.46065259117082535,
|
| 197 |
+
"grad_norm": 0.41511863470077515,
|
| 198 |
+
"learning_rate": 4.967625656594782e-05,
|
| 199 |
+
"loss": 0.1545,
|
| 200 |
+
"num_input_tokens_seen": 22686464,
|
| 201 |
+
"step": 120
|
| 202 |
+
},
|
| 203 |
+
{
|
| 204 |
+
"epoch": 0.4798464491362764,
|
| 205 |
+
"grad_norm": 0.42981916666030884,
|
| 206 |
+
"learning_rate": 4.964878055211597e-05,
|
| 207 |
+
"loss": 0.1483,
|
| 208 |
+
"num_input_tokens_seen": 23654272,
|
| 209 |
+
"step": 125
|
| 210 |
+
},
|
| 211 |
+
{
|
| 212 |
+
"epoch": 0.4990403071017274,
|
| 213 |
+
"grad_norm": 0.39455243945121765,
|
| 214 |
+
"learning_rate": 4.962019382530521e-05,
|
| 215 |
+
"loss": 0.15,
|
| 216 |
+
"num_input_tokens_seen": 24606720,
|
| 217 |
+
"step": 130
|
| 218 |
+
},
|
| 219 |
+
{
|
| 220 |
+
"epoch": 0.5182341650671785,
|
| 221 |
+
"grad_norm": 0.40956762433052063,
|
| 222 |
+
"learning_rate": 4.959049767367859e-05,
|
| 223 |
+
"loss": 0.1516,
|
| 224 |
+
"num_input_tokens_seen": 25554944,
|
| 225 |
+
"step": 135
|
| 226 |
+
},
|
| 227 |
+
{
|
| 228 |
+
"epoch": 0.5374280230326296,
|
| 229 |
+
"grad_norm": 0.39926445484161377,
|
| 230 |
+
"learning_rate": 4.955969343539162e-05,
|
| 231 |
+
"loss": 0.1521,
|
| 232 |
+
"num_input_tokens_seen": 26515968,
|
| 233 |
+
"step": 140
|
| 234 |
+
},
|
| 235 |
+
{
|
| 236 |
+
"epoch": 0.5566218809980806,
|
| 237 |
+
"grad_norm": 0.4021078050136566,
|
| 238 |
+
"learning_rate": 4.9527782498531915e-05,
|
| 239 |
+
"loss": 0.1535,
|
| 240 |
+
"num_input_tokens_seen": 27450112,
|
| 241 |
+
"step": 145
|
| 242 |
+
},
|
| 243 |
+
{
|
| 244 |
+
"epoch": 0.5758157389635317,
|
| 245 |
+
"grad_norm": 0.40622368454933167,
|
| 246 |
+
"learning_rate": 4.949476630105669e-05,
|
| 247 |
+
"loss": 0.1521,
|
| 248 |
+
"num_input_tokens_seen": 28398592,
|
| 249 |
+
"step": 150
|
| 250 |
+
},
|
| 251 |
+
{
|
| 252 |
+
"epoch": 0.5950095969289827,
|
| 253 |
+
"grad_norm": 0.4052083194255829,
|
| 254 |
+
"learning_rate": 4.946064633072795e-05,
|
| 255 |
+
"loss": 0.1498,
|
| 256 |
+
"num_input_tokens_seen": 29364864,
|
| 257 |
+
"step": 155
|
| 258 |
+
},
|
| 259 |
+
{
|
| 260 |
+
"epoch": 0.6142034548944337,
|
| 261 |
+
"grad_norm": 0.39543649554252625,
|
| 262 |
+
"learning_rate": 4.942542412504543e-05,
|
| 263 |
+
"loss": 0.1499,
|
| 264 |
+
"num_input_tokens_seen": 30316928,
|
| 265 |
+
"step": 160
|
| 266 |
+
},
|
| 267 |
+
{
|
| 268 |
+
"epoch": 0.6333973128598849,
|
| 269 |
+
"grad_norm": 0.37419360876083374,
|
| 270 |
+
"learning_rate": 4.9389101271177355e-05,
|
| 271 |
+
"loss": 0.1479,
|
| 272 |
+
"num_input_tokens_seen": 31287680,
|
| 273 |
+
"step": 165
|
| 274 |
+
},
|
| 275 |
+
{
|
| 276 |
+
"epoch": 0.6525911708253359,
|
| 277 |
+
"grad_norm": 0.40969106554985046,
|
| 278 |
+
"learning_rate": 4.935167940588887e-05,
|
| 279 |
+
"loss": 0.1506,
|
| 280 |
+
"num_input_tokens_seen": 32245888,
|
| 281 |
+
"step": 170
|
| 282 |
+
},
|
| 283 |
+
{
|
| 284 |
+
"epoch": 0.6717850287907869,
|
| 285 |
+
"grad_norm": 0.39717161655426025,
|
| 286 |
+
"learning_rate": 4.9313160215468334e-05,
|
| 287 |
+
"loss": 0.1451,
|
| 288 |
+
"num_input_tokens_seen": 33194368,
|
| 289 |
+
"step": 175
|
| 290 |
+
},
|
| 291 |
+
{
|
| 292 |
+
"epoch": 0.690978886756238,
|
| 293 |
+
"grad_norm": 0.3813941478729248,
|
| 294 |
+
"learning_rate": 4.92735454356513e-05,
|
| 295 |
+
"loss": 0.1378,
|
| 296 |
+
"num_input_tokens_seen": 34140160,
|
| 297 |
+
"step": 180
|
| 298 |
+
},
|
| 299 |
+
{
|
| 300 |
+
"epoch": 0.710172744721689,
|
| 301 |
+
"grad_norm": 0.3822474777698517,
|
| 302 |
+
"learning_rate": 4.923283685154231e-05,
|
| 303 |
+
"loss": 0.1417,
|
| 304 |
+
"num_input_tokens_seen": 35078528,
|
| 305 |
+
"step": 185
|
| 306 |
+
},
|
| 307 |
+
{
|
| 308 |
+
"epoch": 0.7293666026871402,
|
| 309 |
+
"grad_norm": 0.4150351583957672,
|
| 310 |
+
"learning_rate": 4.9191036297534454e-05,
|
| 311 |
+
"loss": 0.1476,
|
| 312 |
+
"num_input_tokens_seen": 36013696,
|
| 313 |
+
"step": 190
|
| 314 |
+
},
|
| 315 |
+
{
|
| 316 |
+
"epoch": 0.7485604606525912,
|
| 317 |
+
"grad_norm": 0.3787771463394165,
|
| 318 |
+
"learning_rate": 4.914814565722671e-05,
|
| 319 |
+
"loss": 0.1414,
|
| 320 |
+
"num_input_tokens_seen": 36973056,
|
| 321 |
+
"step": 195
|
| 322 |
+
},
|
| 323 |
+
{
|
| 324 |
+
"epoch": 0.7677543186180422,
|
| 325 |
+
"grad_norm": 0.4316699504852295,
|
| 326 |
+
"learning_rate": 4.910416686333906e-05,
|
| 327 |
+
"loss": 0.1447,
|
| 328 |
+
"num_input_tokens_seen": 37904256,
|
| 329 |
+
"step": 200
|
| 330 |
+
},
|
| 331 |
+
{
|
| 332 |
+
"epoch": 0.7869481765834933,
|
| 333 |
+
"grad_norm": 0.38349735736846924,
|
| 334 |
+
"learning_rate": 4.905910189762542e-05,
|
| 335 |
+
"loss": 0.1417,
|
| 336 |
+
"num_input_tokens_seen": 38858240,
|
| 337 |
+
"step": 205
|
| 338 |
+
},
|
| 339 |
+
{
|
| 340 |
+
"epoch": 0.8061420345489443,
|
| 341 |
+
"grad_norm": 0.41351762413978577,
|
| 342 |
+
"learning_rate": 4.901295279078431e-05,
|
| 343 |
+
"loss": 0.1435,
|
| 344 |
+
"num_input_tokens_seen": 39800192,
|
| 345 |
+
"step": 210
|
| 346 |
+
},
|
| 347 |
+
{
|
| 348 |
+
"epoch": 0.8253358925143954,
|
| 349 |
+
"grad_norm": 0.36677101254463196,
|
| 350 |
+
"learning_rate": 4.896572162236737e-05,
|
| 351 |
+
"loss": 0.1454,
|
| 352 |
+
"num_input_tokens_seen": 40736128,
|
| 353 |
+
"step": 215
|
| 354 |
+
},
|
| 355 |
+
{
|
| 356 |
+
"epoch": 0.8445297504798465,
|
| 357 |
+
"grad_norm": 0.4057168662548065,
|
| 358 |
+
"learning_rate": 4.8917410520685635e-05,
|
| 359 |
+
"loss": 0.1414,
|
| 360 |
+
"num_input_tokens_seen": 41699072,
|
| 361 |
+
"step": 220
|
| 362 |
+
},
|
| 363 |
+
{
|
| 364 |
+
"epoch": 0.8637236084452975,
|
| 365 |
+
"grad_norm": 0.3790329396724701,
|
| 366 |
+
"learning_rate": 4.886802166271364e-05,
|
| 367 |
+
"loss": 0.1452,
|
| 368 |
+
"num_input_tokens_seen": 42651648,
|
| 369 |
+
"step": 225
|
| 370 |
+
},
|
| 371 |
+
{
|
| 372 |
+
"epoch": 0.8829174664107485,
|
| 373 |
+
"grad_norm": 0.37877827882766724,
|
| 374 |
+
"learning_rate": 4.881755727399134e-05,
|
| 375 |
+
"loss": 0.1408,
|
| 376 |
+
"num_input_tokens_seen": 43584512,
|
| 377 |
+
"step": 230
|
| 378 |
+
},
|
| 379 |
+
{
|
| 380 |
+
"epoch": 0.9021113243761996,
|
| 381 |
+
"grad_norm": 0.37050819396972656,
|
| 382 |
+
"learning_rate": 4.8766019628523775e-05,
|
| 383 |
+
"loss": 0.1342,
|
| 384 |
+
"num_input_tokens_seen": 44552448,
|
| 385 |
+
"step": 235
|
| 386 |
+
},
|
| 387 |
+
{
|
| 388 |
+
"epoch": 0.9213051823416507,
|
| 389 |
+
"grad_norm": 0.367374449968338,
|
| 390 |
+
"learning_rate": 4.8713411048678635e-05,
|
| 391 |
+
"loss": 0.142,
|
| 392 |
+
"num_input_tokens_seen": 45498368,
|
| 393 |
+
"step": 240
|
| 394 |
+
},
|
| 395 |
+
{
|
| 396 |
+
"epoch": 0.9404990403071017,
|
| 397 |
+
"grad_norm": 0.3566618859767914,
|
| 398 |
+
"learning_rate": 4.8659733905081634e-05,
|
| 399 |
+
"loss": 0.1398,
|
| 400 |
+
"num_input_tokens_seen": 46445952,
|
| 401 |
+
"step": 245
|
| 402 |
+
},
|
| 403 |
+
{
|
| 404 |
+
"epoch": 0.9596928982725528,
|
| 405 |
+
"grad_norm": 0.35429617762565613,
|
| 406 |
+
"learning_rate": 4.8604990616509616e-05,
|
| 407 |
+
"loss": 0.1345,
|
| 408 |
+
"num_input_tokens_seen": 47391872,
|
| 409 |
+
"step": 250
|
| 410 |
+
},
|
| 411 |
+
{
|
| 412 |
+
"epoch": 0.9788867562380038,
|
| 413 |
+
"grad_norm": 0.3834087550640106,
|
| 414 |
+
"learning_rate": 4.8549183649781626e-05,
|
| 415 |
+
"loss": 0.14,
|
| 416 |
+
"num_input_tokens_seen": 48339584,
|
| 417 |
+
"step": 255
|
| 418 |
+
},
|
| 419 |
+
{
|
| 420 |
+
"epoch": 0.9980806142034548,
|
| 421 |
+
"grad_norm": 0.36162251234054565,
|
| 422 |
+
"learning_rate": 4.849231551964771e-05,
|
| 423 |
+
"loss": 0.1376,
|
| 424 |
+
"num_input_tokens_seen": 49294848,
|
| 425 |
+
"step": 260
|
| 426 |
+
},
|
| 427 |
+
{
|
| 428 |
+
"epoch": 1.017274472168906,
|
| 429 |
+
"grad_norm": 0.3323320746421814,
|
| 430 |
+
"learning_rate": 4.8434388788675635e-05,
|
| 431 |
+
"loss": 0.1149,
|
| 432 |
+
"num_input_tokens_seen": 50247296,
|
| 433 |
+
"step": 265
|
| 434 |
+
},
|
| 435 |
+
{
|
| 436 |
+
"epoch": 1.036468330134357,
|
| 437 |
+
"grad_norm": 0.36334532499313354,
|
| 438 |
+
"learning_rate": 4.837540606713538e-05,
|
| 439 |
+
"loss": 0.1119,
|
| 440 |
+
"num_input_tokens_seen": 51193472,
|
| 441 |
+
"step": 270
|
| 442 |
+
},
|
| 443 |
+
{
|
| 444 |
+
"epoch": 1.055662188099808,
|
| 445 |
+
"grad_norm": 0.37446385622024536,
|
| 446 |
+
"learning_rate": 4.8315370012881514e-05,
|
| 447 |
+
"loss": 0.1125,
|
| 448 |
+
"num_input_tokens_seen": 52144000,
|
| 449 |
+
"step": 275
|
| 450 |
+
},
|
| 451 |
+
{
|
| 452 |
+
"epoch": 1.0748560460652592,
|
| 453 |
+
"grad_norm": 0.4256220757961273,
|
| 454 |
+
"learning_rate": 4.8254283331233464e-05,
|
| 455 |
+
"loss": 0.1083,
|
| 456 |
+
"num_input_tokens_seen": 53097216,
|
| 457 |
+
"step": 280
|
| 458 |
+
},
|
| 459 |
+
{
|
| 460 |
+
"epoch": 1.0940499040307101,
|
| 461 |
+
"grad_norm": 0.39395830035209656,
|
| 462 |
+
"learning_rate": 4.819214877485358e-05,
|
| 463 |
+
"loss": 0.1083,
|
| 464 |
+
"num_input_tokens_seen": 54032896,
|
| 465 |
+
"step": 285
|
| 466 |
+
},
|
| 467 |
+
{
|
| 468 |
+
"epoch": 1.1132437619961613,
|
| 469 |
+
"grad_norm": 0.3702699542045593,
|
| 470 |
+
"learning_rate": 4.812896914362309e-05,
|
| 471 |
+
"loss": 0.1092,
|
| 472 |
+
"num_input_tokens_seen": 54988800,
|
| 473 |
+
"step": 290
|
| 474 |
+
},
|
| 475 |
+
{
|
| 476 |
+
"epoch": 1.1324376199616122,
|
| 477 |
+
"grad_norm": 0.389553040266037,
|
| 478 |
+
"learning_rate": 4.806474728451597e-05,
|
| 479 |
+
"loss": 0.1057,
|
| 480 |
+
"num_input_tokens_seen": 55947520,
|
| 481 |
+
"step": 295
|
| 482 |
+
},
|
| 483 |
+
{
|
| 484 |
+
"epoch": 1.1516314779270633,
|
| 485 |
+
"grad_norm": 0.37560170888900757,
|
| 486 |
+
"learning_rate": 4.799948609147061e-05,
|
| 487 |
+
"loss": 0.108,
|
| 488 |
+
"num_input_tokens_seen": 56864384,
|
| 489 |
+
"step": 300
|
| 490 |
+
},
|
| 491 |
+
{
|
| 492 |
+
"epoch": 1.1708253358925145,
|
| 493 |
+
"grad_norm": 0.3832947611808777,
|
| 494 |
+
"learning_rate": 4.793318850525943e-05,
|
| 495 |
+
"loss": 0.1092,
|
| 496 |
+
"num_input_tokens_seen": 57816960,
|
| 497 |
+
"step": 305
|
| 498 |
+
},
|
| 499 |
+
{
|
| 500 |
+
"epoch": 1.1900191938579654,
|
| 501 |
+
"grad_norm": 0.41275399923324585,
|
| 502 |
+
"learning_rate": 4.786585751335637e-05,
|
| 503 |
+
"loss": 0.1076,
|
| 504 |
+
"num_input_tokens_seen": 58773376,
|
| 505 |
+
"step": 310
|
| 506 |
+
},
|
| 507 |
+
{
|
| 508 |
+
"epoch": 1.2092130518234165,
|
| 509 |
+
"grad_norm": 0.4026075601577759,
|
| 510 |
+
"learning_rate": 4.7797496149802256e-05,
|
| 511 |
+
"loss": 0.1061,
|
| 512 |
+
"num_input_tokens_seen": 59710592,
|
| 513 |
+
"step": 315
|
| 514 |
+
},
|
| 515 |
+
{
|
| 516 |
+
"epoch": 1.2284069097888675,
|
| 517 |
+
"grad_norm": 0.4040988087654114,
|
| 518 |
+
"learning_rate": 4.77281074950681e-05,
|
| 519 |
+
"loss": 0.1073,
|
| 520 |
+
"num_input_tokens_seen": 60660352,
|
| 521 |
+
"step": 320
|
| 522 |
+
},
|
| 523 |
+
{
|
| 524 |
+
"epoch": 1.2476007677543186,
|
| 525 |
+
"grad_norm": 0.40489524602890015,
|
| 526 |
+
"learning_rate": 4.765769467591625e-05,
|
| 527 |
+
"loss": 0.1085,
|
| 528 |
+
"num_input_tokens_seen": 61600256,
|
| 529 |
+
"step": 325
|
| 530 |
+
},
|
| 531 |
+
{
|
| 532 |
+
"epoch": 1.2667946257197698,
|
| 533 |
+
"grad_norm": 0.40675088763237,
|
| 534 |
+
"learning_rate": 4.758626086525956e-05,
|
| 535 |
+
"loss": 0.1149,
|
| 536 |
+
"num_input_tokens_seen": 62558720,
|
| 537 |
+
"step": 330
|
| 538 |
+
},
|
| 539 |
+
{
|
| 540 |
+
"epoch": 1.2859884836852207,
|
| 541 |
+
"grad_norm": 0.4014970362186432,
|
| 542 |
+
"learning_rate": 4.751380928201834e-05,
|
| 543 |
+
"loss": 0.1101,
|
| 544 |
+
"num_input_tokens_seen": 63505152,
|
| 545 |
+
"step": 335
|
| 546 |
+
},
|
| 547 |
+
{
|
| 548 |
+
"epoch": 1.3051823416506718,
|
| 549 |
+
"grad_norm": 0.3987894654273987,
|
| 550 |
+
"learning_rate": 4.744034319097535e-05,
|
| 551 |
+
"loss": 0.1113,
|
| 552 |
+
"num_input_tokens_seen": 64475392,
|
| 553 |
+
"step": 340
|
| 554 |
+
},
|
| 555 |
+
{
|
| 556 |
+
"epoch": 1.3243761996161227,
|
| 557 |
+
"grad_norm": 0.3988923728466034,
|
| 558 |
+
"learning_rate": 4.7365865902628684e-05,
|
| 559 |
+
"loss": 0.1065,
|
| 560 |
+
"num_input_tokens_seen": 65412352,
|
| 561 |
+
"step": 345
|
| 562 |
+
},
|
| 563 |
+
{
|
| 564 |
+
"epoch": 1.3435700575815739,
|
| 565 |
+
"grad_norm": 0.40686464309692383,
|
| 566 |
+
"learning_rate": 4.7290380773042575e-05,
|
| 567 |
+
"loss": 0.1058,
|
| 568 |
+
"num_input_tokens_seen": 66358272,
|
| 569 |
+
"step": 350
|
| 570 |
+
},
|
| 571 |
+
{
|
| 572 |
+
"epoch": 1.362763915547025,
|
| 573 |
+
"grad_norm": 0.4416196048259735,
|
| 574 |
+
"learning_rate": 4.7213891203696164e-05,
|
| 575 |
+
"loss": 0.1068,
|
| 576 |
+
"num_input_tokens_seen": 67310208,
|
| 577 |
+
"step": 355
|
| 578 |
+
},
|
| 579 |
+
{
|
| 580 |
+
"epoch": 1.381957773512476,
|
| 581 |
+
"grad_norm": 0.38802987337112427,
|
| 582 |
+
"learning_rate": 4.713640064133025e-05,
|
| 583 |
+
"loss": 0.1119,
|
| 584 |
+
"num_input_tokens_seen": 68256256,
|
| 585 |
+
"step": 360
|
| 586 |
+
},
|
| 587 |
+
{
|
| 588 |
+
"epoch": 1.401151631477927,
|
| 589 |
+
"grad_norm": 0.37979230284690857,
|
| 590 |
+
"learning_rate": 4.705791257779195e-05,
|
| 591 |
+
"loss": 0.1087,
|
| 592 |
+
"num_input_tokens_seen": 69200896,
|
| 593 |
+
"step": 365
|
| 594 |
+
},
|
| 595 |
+
{
|
| 596 |
+
"epoch": 1.420345489443378,
|
| 597 |
+
"grad_norm": 0.40544721484184265,
|
| 598 |
+
"learning_rate": 4.697843054987737e-05,
|
| 599 |
+
"loss": 0.1101,
|
| 600 |
+
"num_input_tokens_seen": 70129792,
|
| 601 |
+
"step": 370
|
| 602 |
+
},
|
| 603 |
+
{
|
| 604 |
+
"epoch": 1.4395393474088292,
|
| 605 |
+
"grad_norm": 0.39788997173309326,
|
| 606 |
+
"learning_rate": 4.68979581391722e-05,
|
| 607 |
+
"loss": 0.1117,
|
| 608 |
+
"num_input_tokens_seen": 71074944,
|
| 609 |
+
"step": 375
|
| 610 |
+
},
|
| 611 |
+
{
|
| 612 |
+
"epoch": 1.4587332053742803,
|
| 613 |
+
"grad_norm": 0.40104883909225464,
|
| 614 |
+
"learning_rate": 4.681649897189036e-05,
|
| 615 |
+
"loss": 0.1067,
|
| 616 |
+
"num_input_tokens_seen": 72009088,
|
| 617 |
+
"step": 380
|
| 618 |
+
},
|
| 619 |
+
{
|
| 620 |
+
"epoch": 1.4779270633397312,
|
| 621 |
+
"grad_norm": 0.4051682949066162,
|
| 622 |
+
"learning_rate": 4.673405671871057e-05,
|
| 623 |
+
"loss": 0.1106,
|
| 624 |
+
"num_input_tokens_seen": 72954880,
|
| 625 |
+
"step": 385
|
| 626 |
+
},
|
| 627 |
+
{
|
| 628 |
+
"epoch": 1.4971209213051824,
|
| 629 |
+
"grad_norm": 0.40561723709106445,
|
| 630 |
+
"learning_rate": 4.665063509461097e-05,
|
| 631 |
+
"loss": 0.108,
|
| 632 |
+
"num_input_tokens_seen": 73890176,
|
| 633 |
+
"step": 390
|
| 634 |
+
},
|
| 635 |
+
{
|
| 636 |
+
"epoch": 1.5163147792706333,
|
| 637 |
+
"grad_norm": 0.4338354468345642,
|
| 638 |
+
"learning_rate": 4.656623785870167e-05,
|
| 639 |
+
"loss": 0.1093,
|
| 640 |
+
"num_input_tokens_seen": 74851840,
|
| 641 |
+
"step": 395
|
| 642 |
+
},
|
| 643 |
+
{
|
| 644 |
+
"epoch": 1.5355086372360844,
|
| 645 |
+
"grad_norm": 0.40794938802719116,
|
| 646 |
+
"learning_rate": 4.6480868814055424e-05,
|
| 647 |
+
"loss": 0.1071,
|
| 648 |
+
"num_input_tokens_seen": 75794816,
|
| 649 |
+
"step": 400
|
| 650 |
+
},
|
| 651 |
+
{
|
| 652 |
+
"epoch": 1.5547024952015356,
|
| 653 |
+
"grad_norm": 0.406972199678421,
|
| 654 |
+
"learning_rate": 4.639453180753619e-05,
|
| 655 |
+
"loss": 0.1092,
|
| 656 |
+
"num_input_tokens_seen": 76736512,
|
| 657 |
+
"step": 405
|
| 658 |
+
},
|
| 659 |
+
{
|
| 660 |
+
"epoch": 1.5738963531669867,
|
| 661 |
+
"grad_norm": 0.4144577383995056,
|
| 662 |
+
"learning_rate": 4.630723072962584e-05,
|
| 663 |
+
"loss": 0.1083,
|
| 664 |
+
"num_input_tokens_seen": 77692288,
|
| 665 |
+
"step": 410
|
| 666 |
+
},
|
| 667 |
+
{
|
| 668 |
+
"epoch": 1.5930902111324377,
|
| 669 |
+
"grad_norm": 0.44782555103302,
|
| 670 |
+
"learning_rate": 4.6218969514248814e-05,
|
| 671 |
+
"loss": 0.1068,
|
| 672 |
+
"num_input_tokens_seen": 78654720,
|
| 673 |
+
"step": 415
|
| 674 |
+
},
|
| 675 |
+
{
|
| 676 |
+
"epoch": 1.6122840690978886,
|
| 677 |
+
"grad_norm": 0.45688125491142273,
|
| 678 |
+
"learning_rate": 4.6129752138594874e-05,
|
| 679 |
+
"loss": 0.1083,
|
| 680 |
+
"num_input_tokens_seen": 79607552,
|
| 681 |
+
"step": 420
|
| 682 |
+
},
|
| 683 |
+
{
|
| 684 |
+
"epoch": 1.6314779270633397,
|
| 685 |
+
"grad_norm": 0.43751007318496704,
|
| 686 |
+
"learning_rate": 4.6039582622939854e-05,
|
| 687 |
+
"loss": 0.1087,
|
| 688 |
+
"num_input_tokens_seen": 80547328,
|
| 689 |
+
"step": 425
|
| 690 |
+
},
|
| 691 |
+
{
|
| 692 |
+
"epoch": 1.6506717850287909,
|
| 693 |
+
"grad_norm": 0.42292338609695435,
|
| 694 |
+
"learning_rate": 4.5948465030464536e-05,
|
| 695 |
+
"loss": 0.107,
|
| 696 |
+
"num_input_tokens_seen": 81478400,
|
| 697 |
+
"step": 430
|
| 698 |
+
},
|
| 699 |
+
{
|
| 700 |
+
"epoch": 1.669865642994242,
|
| 701 |
+
"grad_norm": 0.4191446006298065,
|
| 702 |
+
"learning_rate": 4.5856403467071536e-05,
|
| 703 |
+
"loss": 0.1084,
|
| 704 |
+
"num_input_tokens_seen": 82441984,
|
| 705 |
+
"step": 435
|
| 706 |
+
},
|
| 707 |
+
{
|
| 708 |
+
"epoch": 1.689059500959693,
|
| 709 |
+
"grad_norm": 0.397989958524704,
|
| 710 |
+
"learning_rate": 4.5763402081200294e-05,
|
| 711 |
+
"loss": 0.1069,
|
| 712 |
+
"num_input_tokens_seen": 83382912,
|
| 713 |
+
"step": 440
|
| 714 |
+
},
|
| 715 |
+
{
|
| 716 |
+
"epoch": 1.7082533589251438,
|
| 717 |
+
"grad_norm": 0.4078799784183502,
|
| 718 |
+
"learning_rate": 4.566946506364013e-05,
|
| 719 |
+
"loss": 0.1064,
|
| 720 |
+
"num_input_tokens_seen": 84332672,
|
| 721 |
+
"step": 445
|
| 722 |
+
},
|
| 723 |
+
{
|
| 724 |
+
"epoch": 1.727447216890595,
|
| 725 |
+
"grad_norm": 0.41216278076171875,
|
| 726 |
+
"learning_rate": 4.557459664734141e-05,
|
| 727 |
+
"loss": 0.1114,
|
| 728 |
+
"num_input_tokens_seen": 85280128,
|
| 729 |
+
"step": 450
|
| 730 |
+
},
|
| 731 |
+
{
|
| 732 |
+
"epoch": 1.7466410748560461,
|
| 733 |
+
"grad_norm": 0.43625858426094055,
|
| 734 |
+
"learning_rate": 4.54788011072248e-05,
|
| 735 |
+
"loss": 0.1069,
|
| 736 |
+
"num_input_tokens_seen": 86221568,
|
| 737 |
+
"step": 455
|
| 738 |
+
},
|
| 739 |
+
{
|
| 740 |
+
"epoch": 1.7658349328214973,
|
| 741 |
+
"grad_norm": 0.3984062075614929,
|
| 742 |
+
"learning_rate": 4.538208275998861e-05,
|
| 743 |
+
"loss": 0.107,
|
| 744 |
+
"num_input_tokens_seen": 87159936,
|
| 745 |
+
"step": 460
|
| 746 |
+
},
|
| 747 |
+
{
|
| 748 |
+
"epoch": 1.7850287907869482,
|
| 749 |
+
"grad_norm": 0.4033821225166321,
|
| 750 |
+
"learning_rate": 4.528444596391433e-05,
|
| 751 |
+
"loss": 0.1066,
|
| 752 |
+
"num_input_tokens_seen": 88115712,
|
| 753 |
+
"step": 465
|
| 754 |
+
},
|
| 755 |
+
{
|
| 756 |
+
"epoch": 1.8042226487523991,
|
| 757 |
+
"grad_norm": 0.40416958928108215,
|
| 758 |
+
"learning_rate": 4.518589511867017e-05,
|
| 759 |
+
"loss": 0.1054,
|
| 760 |
+
"num_input_tokens_seen": 89069824,
|
| 761 |
+
"step": 470
|
| 762 |
+
},
|
| 763 |
+
{
|
| 764 |
+
"epoch": 1.8234165067178503,
|
| 765 |
+
"grad_norm": 0.4133840501308441,
|
| 766 |
+
"learning_rate": 4.5086434665112864e-05,
|
| 767 |
+
"loss": 0.1055,
|
| 768 |
+
"num_input_tokens_seen": 90018176,
|
| 769 |
+
"step": 475
|
| 770 |
+
},
|
| 771 |
+
{
|
| 772 |
+
"epoch": 1.8426103646833014,
|
| 773 |
+
"grad_norm": 0.44508275389671326,
|
| 774 |
+
"learning_rate": 4.498606908508754e-05,
|
| 775 |
+
"loss": 0.1091,
|
| 776 |
+
"num_input_tokens_seen": 90960128,
|
| 777 |
+
"step": 480
|
| 778 |
+
},
|
| 779 |
+
{
|
| 780 |
+
"epoch": 1.8618042226487526,
|
| 781 |
+
"grad_norm": 0.4138317108154297,
|
| 782 |
+
"learning_rate": 4.4884802901225695e-05,
|
| 783 |
+
"loss": 0.106,
|
| 784 |
+
"num_input_tokens_seen": 91911936,
|
| 785 |
+
"step": 485
|
| 786 |
+
},
|
| 787 |
+
{
|
| 788 |
+
"epoch": 1.8809980806142035,
|
| 789 |
+
"grad_norm": 0.41188734769821167,
|
| 790 |
+
"learning_rate": 4.478264067674155e-05,
|
| 791 |
+
"loss": 0.106,
|
| 792 |
+
"num_input_tokens_seen": 92849280,
|
| 793 |
+
"step": 490
|
| 794 |
+
},
|
| 795 |
+
{
|
| 796 |
+
"epoch": 1.9001919385796544,
|
| 797 |
+
"grad_norm": 0.43868768215179443,
|
| 798 |
+
"learning_rate": 4.4679587015226253e-05,
|
| 799 |
+
"loss": 0.1065,
|
| 800 |
+
"num_input_tokens_seen": 93810560,
|
| 801 |
+
"step": 495
|
| 802 |
+
},
|
| 803 |
+
{
|
| 804 |
+
"epoch": 1.9193857965451055,
|
| 805 |
+
"grad_norm": 0.4238053560256958,
|
| 806 |
+
"learning_rate": 4.457564656044056e-05,
|
| 807 |
+
"loss": 0.1036,
|
| 808 |
+
"num_input_tokens_seen": 94771328,
|
| 809 |
+
"step": 500
|
| 810 |
+
},
|
| 811 |
+
{
|
| 812 |
+
"epoch": 1.9385796545105567,
|
| 813 |
+
"grad_norm": 0.4343940317630768,
|
| 814 |
+
"learning_rate": 4.447082399610549e-05,
|
| 815 |
+
"loss": 0.1039,
|
| 816 |
+
"num_input_tokens_seen": 95733632,
|
| 817 |
+
"step": 505
|
| 818 |
+
},
|
| 819 |
+
{
|
| 820 |
+
"epoch": 1.9577735124760078,
|
| 821 |
+
"grad_norm": 0.4396176040172577,
|
| 822 |
+
"learning_rate": 4.436512404569136e-05,
|
| 823 |
+
"loss": 0.1073,
|
| 824 |
+
"num_input_tokens_seen": 96689280,
|
| 825 |
+
"step": 510
|
| 826 |
+
},
|
| 827 |
+
{
|
| 828 |
+
"epoch": 1.9769673704414588,
|
| 829 |
+
"grad_norm": 0.4687812030315399,
|
| 830 |
+
"learning_rate": 4.4258551472204865e-05,
|
| 831 |
+
"loss": 0.1082,
|
| 832 |
+
"num_input_tokens_seen": 97626112,
|
| 833 |
+
"step": 515
|
| 834 |
+
},
|
| 835 |
+
{
|
| 836 |
+
"epoch": 1.9961612284069097,
|
| 837 |
+
"grad_norm": 0.4092023968696594,
|
| 838 |
+
"learning_rate": 4.415111107797445e-05,
|
| 839 |
+
"loss": 0.1049,
|
| 840 |
+
"num_input_tokens_seen": 98561280,
|
| 841 |
+
"step": 520
|
| 842 |
+
},
|
| 843 |
+
{
|
| 844 |
+
"epoch": 2.015355086372361,
|
| 845 |
+
"grad_norm": 0.3592652976512909,
|
| 846 |
+
"learning_rate": 4.404280770443398e-05,
|
| 847 |
+
"loss": 0.0829,
|
| 848 |
+
"num_input_tokens_seen": 99516160,
|
| 849 |
+
"step": 525
|
| 850 |
+
},
|
| 851 |
+
{
|
| 852 |
+
"epoch": 2.034548944337812,
|
| 853 |
+
"grad_norm": 0.4278601109981537,
|
| 854 |
+
"learning_rate": 4.3933646231904504e-05,
|
| 855 |
+
"loss": 0.0727,
|
| 856 |
+
"num_input_tokens_seen": 100466048,
|
| 857 |
+
"step": 530
|
| 858 |
+
},
|
| 859 |
+
{
|
| 860 |
+
"epoch": 2.053742802303263,
|
| 861 |
+
"grad_norm": 0.48623570799827576,
|
| 862 |
+
"learning_rate": 4.3823631579374354e-05,
|
| 863 |
+
"loss": 0.0706,
|
| 864 |
+
"num_input_tokens_seen": 101422208,
|
| 865 |
+
"step": 535
|
| 866 |
+
},
|
| 867 |
+
{
|
| 868 |
+
"epoch": 2.072936660268714,
|
| 869 |
+
"grad_norm": 0.4464566111564636,
|
| 870 |
+
"learning_rate": 4.371276870427753e-05,
|
| 871 |
+
"loss": 0.0683,
|
| 872 |
+
"num_input_tokens_seen": 102365568,
|
| 873 |
+
"step": 540
|
| 874 |
+
},
|
| 875 |
+
{
|
| 876 |
+
"epoch": 2.092130518234165,
|
| 877 |
+
"grad_norm": 0.48030439019203186,
|
| 878 |
+
"learning_rate": 4.360106260227027e-05,
|
| 879 |
+
"loss": 0.0708,
|
| 880 |
+
"num_input_tokens_seen": 103312128,
|
| 881 |
+
"step": 545
|
| 882 |
+
},
|
| 883 |
+
{
|
| 884 |
+
"epoch": 2.111324376199616,
|
| 885 |
+
"grad_norm": 0.4528995752334595,
|
| 886 |
+
"learning_rate": 4.348851830700593e-05,
|
| 887 |
+
"loss": 0.0693,
|
| 888 |
+
"num_input_tokens_seen": 104258560,
|
| 889 |
+
"step": 550
|
| 890 |
+
},
|
| 891 |
+
{
|
| 892 |
+
"epoch": 2.1305182341650672,
|
| 893 |
+
"grad_norm": 0.48248499631881714,
|
| 894 |
+
"learning_rate": 4.337514088990822e-05,
|
| 895 |
+
"loss": 0.067,
|
| 896 |
+
"num_input_tokens_seen": 105199360,
|
| 897 |
+
"step": 555
|
| 898 |
+
},
|
| 899 |
+
{
|
| 900 |
+
"epoch": 2.1497120921305184,
|
| 901 |
+
"grad_norm": 0.5198423266410828,
|
| 902 |
+
"learning_rate": 4.3260935459942584e-05,
|
| 903 |
+
"loss": 0.0701,
|
| 904 |
+
"num_input_tokens_seen": 106155776,
|
| 905 |
+
"step": 560
|
| 906 |
+
},
|
| 907 |
+
{
|
| 908 |
+
"epoch": 2.168905950095969,
|
| 909 |
+
"grad_norm": 0.47610777616500854,
|
| 910 |
+
"learning_rate": 4.3145907163386064e-05,
|
| 911 |
+
"loss": 0.0673,
|
| 912 |
+
"num_input_tokens_seen": 107121792,
|
| 913 |
+
"step": 565
|
| 914 |
+
},
|
| 915 |
+
{
|
| 916 |
+
"epoch": 2.1880998080614202,
|
| 917 |
+
"grad_norm": 0.4852938950061798,
|
| 918 |
+
"learning_rate": 4.303006118359537e-05,
|
| 919 |
+
"loss": 0.0667,
|
| 920 |
+
"num_input_tokens_seen": 108049280,
|
| 921 |
+
"step": 570
|
| 922 |
+
},
|
| 923 |
+
{
|
| 924 |
+
"epoch": 2.2072936660268714,
|
| 925 |
+
"grad_norm": 0.5004666447639465,
|
| 926 |
+
"learning_rate": 4.2913402740773294e-05,
|
| 927 |
+
"loss": 0.0708,
|
| 928 |
+
"num_input_tokens_seen": 108994816,
|
| 929 |
+
"step": 575
|
| 930 |
+
},
|
| 931 |
+
{
|
| 932 |
+
"epoch": 2.2264875239923225,
|
| 933 |
+
"grad_norm": 0.500302255153656,
|
| 934 |
+
"learning_rate": 4.2795937091733515e-05,
|
| 935 |
+
"loss": 0.073,
|
| 936 |
+
"num_input_tokens_seen": 109929728,
|
| 937 |
+
"step": 580
|
| 938 |
+
},
|
| 939 |
+
{
|
| 940 |
+
"epoch": 2.2456813819577737,
|
| 941 |
+
"grad_norm": 0.45096588134765625,
|
| 942 |
+
"learning_rate": 4.267766952966369e-05,
|
| 943 |
+
"loss": 0.0712,
|
| 944 |
+
"num_input_tokens_seen": 110867328,
|
| 945 |
+
"step": 585
|
| 946 |
+
},
|
| 947 |
+
{
|
| 948 |
+
"epoch": 2.2648752399232244,
|
| 949 |
+
"grad_norm": 0.48498988151550293,
|
| 950 |
+
"learning_rate": 4.255860538388694e-05,
|
| 951 |
+
"loss": 0.0703,
|
| 952 |
+
"num_input_tokens_seen": 111824640,
|
| 953 |
+
"step": 590
|
| 954 |
+
},
|
| 955 |
+
{
|
| 956 |
+
"epoch": 2.2840690978886755,
|
| 957 |
+
"grad_norm": 0.6077526807785034,
|
| 958 |
+
"learning_rate": 4.24387500196217e-05,
|
| 959 |
+
"loss": 0.0719,
|
| 960 |
+
"num_input_tokens_seen": 112779648,
|
| 961 |
+
"step": 595
|
| 962 |
+
},
|
| 963 |
+
{
|
| 964 |
+
"epoch": 2.3032629558541267,
|
| 965 |
+
"grad_norm": 0.5256830453872681,
|
| 966 |
+
"learning_rate": 4.231810883773999e-05,
|
| 967 |
+
"loss": 0.0693,
|
| 968 |
+
"num_input_tokens_seen": 113709312,
|
| 969 |
+
"step": 600
|
| 970 |
+
},
|
| 971 |
+
{
|
| 972 |
+
"epoch": 2.322456813819578,
|
| 973 |
+
"grad_norm": 0.5583354234695435,
|
| 974 |
+
"learning_rate": 4.219668727452397e-05,
|
| 975 |
+
"loss": 0.0754,
|
| 976 |
+
"num_input_tokens_seen": 114654080,
|
| 977 |
+
"step": 605
|
| 978 |
+
},
|
| 979 |
+
{
|
| 980 |
+
"epoch": 2.341650671785029,
|
| 981 |
+
"grad_norm": 0.47424212098121643,
|
| 982 |
+
"learning_rate": 4.207449080142104e-05,
|
| 983 |
+
"loss": 0.0692,
|
| 984 |
+
"num_input_tokens_seen": 115618176,
|
| 985 |
+
"step": 610
|
| 986 |
+
},
|
| 987 |
+
{
|
| 988 |
+
"epoch": 2.36084452975048,
|
| 989 |
+
"grad_norm": 0.4865480959415436,
|
| 990 |
+
"learning_rate": 4.195152492479727e-05,
|
| 991 |
+
"loss": 0.0734,
|
| 992 |
+
"num_input_tokens_seen": 116583168,
|
| 993 |
+
"step": 615
|
| 994 |
+
},
|
| 995 |
+
{
|
| 996 |
+
"epoch": 2.380038387715931,
|
| 997 |
+
"grad_norm": 0.5127935409545898,
|
| 998 |
+
"learning_rate": 4.182779518568926e-05,
|
| 999 |
+
"loss": 0.0756,
|
| 1000 |
+
"num_input_tokens_seen": 117525632,
|
| 1001 |
+
"step": 620
|
| 1002 |
+
},
|
| 1003 |
+
{
|
| 1004 |
+
"epoch": 2.399232245681382,
|
| 1005 |
+
"grad_norm": 0.48488515615463257,
|
| 1006 |
+
"learning_rate": 4.170330715955444e-05,
|
| 1007 |
+
"loss": 0.0721,
|
| 1008 |
+
"num_input_tokens_seen": 118487040,
|
| 1009 |
+
"step": 625
|
| 1010 |
+
},
|
| 1011 |
+
{
|
| 1012 |
+
"epoch": 2.418426103646833,
|
| 1013 |
+
"grad_norm": 0.5220322012901306,
|
| 1014 |
+
"learning_rate": 4.157806645601988e-05,
|
| 1015 |
+
"loss": 0.0708,
|
| 1016 |
+
"num_input_tokens_seen": 119424384,
|
| 1017 |
+
"step": 630
|
| 1018 |
+
},
|
| 1019 |
+
{
|
| 1020 |
+
"epoch": 2.4376199616122842,
|
| 1021 |
+
"grad_norm": 0.4799134433269501,
|
| 1022 |
+
"learning_rate": 4.145207871862947e-05,
|
| 1023 |
+
"loss": 0.071,
|
| 1024 |
+
"num_input_tokens_seen": 120394496,
|
| 1025 |
+
"step": 635
|
| 1026 |
+
},
|
| 1027 |
+
{
|
| 1028 |
+
"epoch": 2.456813819577735,
|
| 1029 |
+
"grad_norm": 0.5201560258865356,
|
| 1030 |
+
"learning_rate": 4.132534962458962e-05,
|
| 1031 |
+
"loss": 0.0733,
|
| 1032 |
+
"num_input_tokens_seen": 121340160,
|
| 1033 |
+
"step": 640
|
| 1034 |
+
},
|
| 1035 |
+
{
|
| 1036 |
+
"epoch": 2.476007677543186,
|
| 1037 |
+
"grad_norm": 0.46850621700286865,
|
| 1038 |
+
"learning_rate": 4.1197884884513474e-05,
|
| 1039 |
+
"loss": 0.0725,
|
| 1040 |
+
"num_input_tokens_seen": 122270720,
|
| 1041 |
+
"step": 645
|
| 1042 |
+
},
|
| 1043 |
+
{
|
| 1044 |
+
"epoch": 2.495201535508637,
|
| 1045 |
+
"grad_norm": 0.5046434998512268,
|
| 1046 |
+
"learning_rate": 4.1069690242163484e-05,
|
| 1047 |
+
"loss": 0.0723,
|
| 1048 |
+
"num_input_tokens_seen": 123226880,
|
| 1049 |
+
"step": 650
|
| 1050 |
+
},
|
| 1051 |
+
{
|
| 1052 |
+
"epoch": 2.5143953934740884,
|
| 1053 |
+
"grad_norm": 0.4388461410999298,
|
| 1054 |
+
"learning_rate": 4.094077147419271e-05,
|
| 1055 |
+
"loss": 0.0702,
|
| 1056 |
+
"num_input_tokens_seen": 124177664,
|
| 1057 |
+
"step": 655
|
| 1058 |
+
},
|
| 1059 |
+
{
|
| 1060 |
+
"epoch": 2.5335892514395395,
|
| 1061 |
+
"grad_norm": 0.5357294678688049,
|
| 1062 |
+
"learning_rate": 4.0811134389884433e-05,
|
| 1063 |
+
"loss": 0.0716,
|
| 1064 |
+
"num_input_tokens_seen": 125131520,
|
| 1065 |
+
"step": 660
|
| 1066 |
+
},
|
| 1067 |
+
{
|
| 1068 |
+
"epoch": 2.5527831094049906,
|
| 1069 |
+
"grad_norm": 0.56220543384552,
|
| 1070 |
+
"learning_rate": 4.0680784830890405e-05,
|
| 1071 |
+
"loss": 0.0719,
|
| 1072 |
+
"num_input_tokens_seen": 126085248,
|
| 1073 |
+
"step": 665
|
| 1074 |
+
},
|
| 1075 |
+
{
|
| 1076 |
+
"epoch": 2.5719769673704413,
|
| 1077 |
+
"grad_norm": 0.4952705204486847,
|
| 1078 |
+
"learning_rate": 4.05497286709676e-05,
|
| 1079 |
+
"loss": 0.0705,
|
| 1080 |
+
"num_input_tokens_seen": 127024128,
|
| 1081 |
+
"step": 670
|
| 1082 |
+
},
|
| 1083 |
+
{
|
| 1084 |
+
"epoch": 2.5911708253358925,
|
| 1085 |
+
"grad_norm": 0.4931686520576477,
|
| 1086 |
+
"learning_rate": 4.0417971815713584e-05,
|
| 1087 |
+
"loss": 0.0705,
|
| 1088 |
+
"num_input_tokens_seen": 127971072,
|
| 1089 |
+
"step": 675
|
| 1090 |
+
},
|
| 1091 |
+
{
|
| 1092 |
+
"epoch": 2.6103646833013436,
|
| 1093 |
+
"grad_norm": 0.5248854756355286,
|
| 1094 |
+
"learning_rate": 4.028552020230031e-05,
|
| 1095 |
+
"loss": 0.0741,
|
| 1096 |
+
"num_input_tokens_seen": 128914176,
|
| 1097 |
+
"step": 680
|
| 1098 |
+
},
|
| 1099 |
+
{
|
| 1100 |
+
"epoch": 2.629558541266795,
|
| 1101 |
+
"grad_norm": 0.48179954290390015,
|
| 1102 |
+
"learning_rate": 4.015237979920666e-05,
|
| 1103 |
+
"loss": 0.0722,
|
| 1104 |
+
"num_input_tokens_seen": 129855360,
|
| 1105 |
+
"step": 685
|
| 1106 |
+
},
|
| 1107 |
+
{
|
| 1108 |
+
"epoch": 2.6487523992322455,
|
| 1109 |
+
"grad_norm": 0.5252842903137207,
|
| 1110 |
+
"learning_rate": 4.001855660594948e-05,
|
| 1111 |
+
"loss": 0.0746,
|
| 1112 |
+
"num_input_tokens_seen": 130808960,
|
| 1113 |
+
"step": 690
|
| 1114 |
+
},
|
| 1115 |
+
{
|
| 1116 |
+
"epoch": 2.6679462571976966,
|
| 1117 |
+
"grad_norm": 0.48107513785362244,
|
| 1118 |
+
"learning_rate": 3.9884056652813184e-05,
|
| 1119 |
+
"loss": 0.0692,
|
| 1120 |
+
"num_input_tokens_seen": 131750144,
|
| 1121 |
+
"step": 695
|
| 1122 |
+
},
|
| 1123 |
+
{
|
| 1124 |
+
"epoch": 2.6871401151631478,
|
| 1125 |
+
"grad_norm": 0.6338366866111755,
|
| 1126 |
+
"learning_rate": 3.974888600057808e-05,
|
| 1127 |
+
"loss": 0.0713,
|
| 1128 |
+
"num_input_tokens_seen": 132695936,
|
| 1129 |
+
"step": 700
|
| 1130 |
+
},
|
| 1131 |
+
{
|
| 1132 |
+
"epoch": 2.706333973128599,
|
| 1133 |
+
"grad_norm": 0.4953431785106659,
|
| 1134 |
+
"learning_rate": 3.9613050740247224e-05,
|
| 1135 |
+
"loss": 0.0711,
|
| 1136 |
+
"num_input_tokens_seen": 133666944,
|
| 1137 |
+
"step": 705
|
| 1138 |
+
},
|
| 1139 |
+
{
|
| 1140 |
+
"epoch": 2.72552783109405,
|
| 1141 |
+
"grad_norm": 0.4697812497615814,
|
| 1142 |
+
"learning_rate": 3.947655699277197e-05,
|
| 1143 |
+
"loss": 0.0677,
|
| 1144 |
+
"num_input_tokens_seen": 134611456,
|
| 1145 |
+
"step": 710
|
| 1146 |
+
},
|
| 1147 |
+
{
|
| 1148 |
+
"epoch": 2.744721689059501,
|
| 1149 |
+
"grad_norm": 0.5141253471374512,
|
| 1150 |
+
"learning_rate": 3.933941090877615e-05,
|
| 1151 |
+
"loss": 0.0742,
|
| 1152 |
+
"num_input_tokens_seen": 135558400,
|
| 1153 |
+
"step": 715
|
| 1154 |
+
},
|
| 1155 |
+
{
|
| 1156 |
+
"epoch": 2.763915547024952,
|
| 1157 |
+
"grad_norm": 0.4803192913532257,
|
| 1158 |
+
"learning_rate": 3.920161866827889e-05,
|
| 1159 |
+
"loss": 0.07,
|
| 1160 |
+
"num_input_tokens_seen": 136509696,
|
| 1161 |
+
"step": 720
|
| 1162 |
+
},
|
| 1163 |
+
{
|
| 1164 |
+
"epoch": 2.783109404990403,
|
| 1165 |
+
"grad_norm": 0.47573211789131165,
|
| 1166 |
+
"learning_rate": 3.906318648041617e-05,
|
| 1167 |
+
"loss": 0.0725,
|
| 1168 |
+
"num_input_tokens_seen": 137442816,
|
| 1169 |
+
"step": 725
|
| 1170 |
+
},
|
| 1171 |
+
{
|
| 1172 |
+
"epoch": 2.802303262955854,
|
| 1173 |
+
"grad_norm": 0.5205782055854797,
|
| 1174 |
+
"learning_rate": 3.8924120583160985e-05,
|
| 1175 |
+
"loss": 0.0704,
|
| 1176 |
+
"num_input_tokens_seen": 138383232,
|
| 1177 |
+
"step": 730
|
| 1178 |
+
},
|
| 1179 |
+
{
|
| 1180 |
+
"epoch": 2.8214971209213053,
|
| 1181 |
+
"grad_norm": 0.5315016508102417,
|
| 1182 |
+
"learning_rate": 3.8784427243042296e-05,
|
| 1183 |
+
"loss": 0.0721,
|
| 1184 |
+
"num_input_tokens_seen": 139326464,
|
| 1185 |
+
"step": 735
|
| 1186 |
+
},
|
| 1187 |
+
{
|
| 1188 |
+
"epoch": 2.840690978886756,
|
| 1189 |
+
"grad_norm": 0.4982779324054718,
|
| 1190 |
+
"learning_rate": 3.8644112754862614e-05,
|
| 1191 |
+
"loss": 0.0702,
|
| 1192 |
+
"num_input_tokens_seen": 140295296,
|
| 1193 |
+
"step": 740
|
| 1194 |
+
},
|
| 1195 |
+
{
|
| 1196 |
+
"epoch": 2.859884836852207,
|
| 1197 |
+
"grad_norm": 0.550413191318512,
|
| 1198 |
+
"learning_rate": 3.850318344141439e-05,
|
| 1199 |
+
"loss": 0.0719,
|
| 1200 |
+
"num_input_tokens_seen": 141247488,
|
| 1201 |
+
"step": 745
|
| 1202 |
+
},
|
| 1203 |
+
{
|
| 1204 |
+
"epoch": 2.8790786948176583,
|
| 1205 |
+
"grad_norm": 0.5022615194320679,
|
| 1206 |
+
"learning_rate": 3.8361645653195026e-05,
|
| 1207 |
+
"loss": 0.0712,
|
| 1208 |
+
"num_input_tokens_seen": 142186240,
|
| 1209 |
+
"step": 750
|
| 1210 |
+
},
|
| 1211 |
+
{
|
| 1212 |
+
"epoch": 2.8982725527831095,
|
| 1213 |
+
"grad_norm": 0.5040895342826843,
|
| 1214 |
+
"learning_rate": 3.821950576812081e-05,
|
| 1215 |
+
"loss": 0.0717,
|
| 1216 |
+
"num_input_tokens_seen": 143130624,
|
| 1217 |
+
"step": 755
|
| 1218 |
+
},
|
| 1219 |
+
{
|
| 1220 |
+
"epoch": 2.9174664107485606,
|
| 1221 |
+
"grad_norm": 0.5027932524681091,
|
| 1222 |
+
"learning_rate": 3.807677019123944e-05,
|
| 1223 |
+
"loss": 0.0717,
|
| 1224 |
+
"num_input_tokens_seen": 144061568,
|
| 1225 |
+
"step": 760
|
| 1226 |
+
},
|
| 1227 |
+
{
|
| 1228 |
+
"epoch": 2.9366602687140118,
|
| 1229 |
+
"grad_norm": 0.5451627969741821,
|
| 1230 |
+
"learning_rate": 3.793344535444142e-05,
|
| 1231 |
+
"loss": 0.0694,
|
| 1232 |
+
"num_input_tokens_seen": 145013632,
|
| 1233 |
+
"step": 765
|
| 1234 |
+
},
|
| 1235 |
+
{
|
| 1236 |
+
"epoch": 2.9558541266794625,
|
| 1237 |
+
"grad_norm": 0.5232383012771606,
|
| 1238 |
+
"learning_rate": 3.7789537716170256e-05,
|
| 1239 |
+
"loss": 0.07,
|
| 1240 |
+
"num_input_tokens_seen": 145962880,
|
| 1241 |
+
"step": 770
|
| 1242 |
+
},
|
| 1243 |
+
{
|
| 1244 |
+
"epoch": 2.9750479846449136,
|
| 1245 |
+
"grad_norm": 0.46057307720184326,
|
| 1246 |
+
"learning_rate": 3.764505376113138e-05,
|
| 1247 |
+
"loss": 0.0699,
|
| 1248 |
+
"num_input_tokens_seen": 146916480,
|
| 1249 |
+
"step": 775
|
| 1250 |
+
},
|
| 1251 |
+
{
|
| 1252 |
+
"epoch": 2.9942418426103647,
|
| 1253 |
+
"grad_norm": 0.510372519493103,
|
| 1254 |
+
"learning_rate": 3.7500000000000003e-05,
|
| 1255 |
+
"loss": 0.0705,
|
| 1256 |
+
"num_input_tokens_seen": 147865344,
|
| 1257 |
+
"step": 780
|
| 1258 |
+
},
|
| 1259 |
+
{
|
| 1260 |
+
"epoch": 3.013435700575816,
|
| 1261 |
+
"grad_norm": 0.3846762180328369,
|
| 1262 |
+
"learning_rate": 3.735438296912768e-05,
|
| 1263 |
+
"loss": 0.0515,
|
| 1264 |
+
"num_input_tokens_seen": 148817664,
|
| 1265 |
+
"step": 785
|
| 1266 |
+
},
|
| 1267 |
+
{
|
| 1268 |
+
"epoch": 3.0326295585412666,
|
| 1269 |
+
"grad_norm": 0.5160824656486511,
|
| 1270 |
+
"learning_rate": 3.720820923024778e-05,
|
| 1271 |
+
"loss": 0.0398,
|
| 1272 |
+
"num_input_tokens_seen": 149770880,
|
| 1273 |
+
"step": 790
|
| 1274 |
+
},
|
| 1275 |
+
{
|
| 1276 |
+
"epoch": 3.0518234165067177,
|
| 1277 |
+
"grad_norm": 0.5621275305747986,
|
| 1278 |
+
"learning_rate": 3.7061485370179835e-05,
|
| 1279 |
+
"loss": 0.0388,
|
| 1280 |
+
"num_input_tokens_seen": 150717312,
|
| 1281 |
+
"step": 795
|
| 1282 |
+
},
|
| 1283 |
+
{
|
| 1284 |
+
"epoch": 3.071017274472169,
|
| 1285 |
+
"grad_norm": 0.5459131002426147,
|
| 1286 |
+
"learning_rate": 3.69142180005327e-05,
|
| 1287 |
+
"loss": 0.0392,
|
| 1288 |
+
"num_input_tokens_seen": 151666432,
|
| 1289 |
+
"step": 800
|
| 1290 |
+
},
|
| 1291 |
+
{
|
| 1292 |
+
"epoch": 3.09021113243762,
|
| 1293 |
+
"grad_norm": 0.5296151638031006,
|
| 1294 |
+
"learning_rate": 3.676641375740662e-05,
|
| 1295 |
+
"loss": 0.0373,
|
| 1296 |
+
"num_input_tokens_seen": 152584064,
|
| 1297 |
+
"step": 805
|
| 1298 |
+
},
|
| 1299 |
+
{
|
| 1300 |
+
"epoch": 3.109404990403071,
|
| 1301 |
+
"grad_norm": 0.4850353002548218,
|
| 1302 |
+
"learning_rate": 3.6618079301094216e-05,
|
| 1303 |
+
"loss": 0.039,
|
| 1304 |
+
"num_input_tokens_seen": 153525248,
|
| 1305 |
+
"step": 810
|
| 1306 |
+
},
|
| 1307 |
+
{
|
| 1308 |
+
"epoch": 3.128598848368522,
|
| 1309 |
+
"grad_norm": 0.5585963726043701,
|
| 1310 |
+
"learning_rate": 3.646922131578036e-05,
|
| 1311 |
+
"loss": 0.038,
|
| 1312 |
+
"num_input_tokens_seen": 154456704,
|
| 1313 |
+
"step": 815
|
| 1314 |
+
},
|
| 1315 |
+
{
|
| 1316 |
+
"epoch": 3.147792706333973,
|
| 1317 |
+
"grad_norm": 0.5561864972114563,
|
| 1318 |
+
"learning_rate": 3.631984650924094e-05,
|
| 1319 |
+
"loss": 0.0387,
|
| 1320 |
+
"num_input_tokens_seen": 155405312,
|
| 1321 |
+
"step": 820
|
| 1322 |
+
},
|
| 1323 |
+
{
|
| 1324 |
+
"epoch": 3.166986564299424,
|
| 1325 |
+
"grad_norm": 0.5100105404853821,
|
| 1326 |
+
"learning_rate": 3.6169961612540645e-05,
|
| 1327 |
+
"loss": 0.0387,
|
| 1328 |
+
"num_input_tokens_seen": 156361984,
|
| 1329 |
+
"step": 825
|
| 1330 |
+
},
|
| 1331 |
+
{
|
| 1332 |
+
"epoch": 3.1861804222648753,
|
| 1333 |
+
"grad_norm": 0.5485111474990845,
|
| 1334 |
+
"learning_rate": 3.6019573379729643e-05,
|
| 1335 |
+
"loss": 0.0378,
|
| 1336 |
+
"num_input_tokens_seen": 157296768,
|
| 1337 |
+
"step": 830
|
| 1338 |
+
},
|
| 1339 |
+
{
|
| 1340 |
+
"epoch": 3.2053742802303264,
|
| 1341 |
+
"grad_norm": 0.5596518516540527,
|
| 1342 |
+
"learning_rate": 3.586868858753921e-05,
|
| 1343 |
+
"loss": 0.0376,
|
| 1344 |
+
"num_input_tokens_seen": 158262144,
|
| 1345 |
+
"step": 835
|
| 1346 |
+
},
|
| 1347 |
+
{
|
| 1348 |
+
"epoch": 3.224568138195777,
|
| 1349 |
+
"grad_norm": 0.5062248110771179,
|
| 1350 |
+
"learning_rate": 3.5717314035076355e-05,
|
| 1351 |
+
"loss": 0.0394,
|
| 1352 |
+
"num_input_tokens_seen": 159213952,
|
| 1353 |
+
"step": 840
|
| 1354 |
+
},
|
| 1355 |
+
{
|
| 1356 |
+
"epoch": 3.2437619961612283,
|
| 1357 |
+
"grad_norm": 0.560895562171936,
|
| 1358 |
+
"learning_rate": 3.556545654351749e-05,
|
| 1359 |
+
"loss": 0.0412,
|
| 1360 |
+
"num_input_tokens_seen": 160142208,
|
| 1361 |
+
"step": 845
|
| 1362 |
+
},
|
| 1363 |
+
{
|
| 1364 |
+
"epoch": 3.2629558541266794,
|
| 1365 |
+
"grad_norm": 0.5781249403953552,
|
| 1366 |
+
"learning_rate": 3.5413122955801005e-05,
|
| 1367 |
+
"loss": 0.0379,
|
| 1368 |
+
"num_input_tokens_seen": 161101824,
|
| 1369 |
+
"step": 850
|
| 1370 |
+
},
|
| 1371 |
+
{
|
| 1372 |
+
"epoch": 3.2821497120921306,
|
| 1373 |
+
"grad_norm": 0.5329350233078003,
|
| 1374 |
+
"learning_rate": 3.526032013631893e-05,
|
| 1375 |
+
"loss": 0.0389,
|
| 1376 |
+
"num_input_tokens_seen": 162062592,
|
| 1377 |
+
"step": 855
|
| 1378 |
+
},
|
| 1379 |
+
{
|
| 1380 |
+
"epoch": 3.3013435700575817,
|
| 1381 |
+
"grad_norm": 0.5311657190322876,
|
| 1382 |
+
"learning_rate": 3.510705497060762e-05,
|
| 1383 |
+
"loss": 0.0407,
|
| 1384 |
+
"num_input_tokens_seen": 163008896,
|
| 1385 |
+
"step": 860
|
| 1386 |
+
},
|
| 1387 |
+
{
|
| 1388 |
+
"epoch": 3.320537428023033,
|
| 1389 |
+
"grad_norm": 0.5238428115844727,
|
| 1390 |
+
"learning_rate": 3.4953334365037525e-05,
|
| 1391 |
+
"loss": 0.0396,
|
| 1392 |
+
"num_input_tokens_seen": 163957632,
|
| 1393 |
+
"step": 865
|
| 1394 |
+
},
|
| 1395 |
+
{
|
| 1396 |
+
"epoch": 3.3397312859884836,
|
| 1397 |
+
"grad_norm": 0.5340429544448853,
|
| 1398 |
+
"learning_rate": 3.479916524650188e-05,
|
| 1399 |
+
"loss": 0.0398,
|
| 1400 |
+
"num_input_tokens_seen": 164903680,
|
| 1401 |
+
"step": 870
|
| 1402 |
+
},
|
| 1403 |
+
{
|
| 1404 |
+
"epoch": 3.3589251439539347,
|
| 1405 |
+
"grad_norm": 0.5380253195762634,
|
| 1406 |
+
"learning_rate": 3.4644554562104634e-05,
|
| 1407 |
+
"loss": 0.0378,
|
| 1408 |
+
"num_input_tokens_seen": 165832960,
|
| 1409 |
+
"step": 875
|
| 1410 |
+
},
|
| 1411 |
+
{
|
| 1412 |
+
"epoch": 3.378119001919386,
|
| 1413 |
+
"grad_norm": 0.5895189046859741,
|
| 1414 |
+
"learning_rate": 3.4489509278847414e-05,
|
| 1415 |
+
"loss": 0.0386,
|
| 1416 |
+
"num_input_tokens_seen": 166790016,
|
| 1417 |
+
"step": 880
|
| 1418 |
+
},
|
| 1419 |
+
{
|
| 1420 |
+
"epoch": 3.397312859884837,
|
| 1421 |
+
"grad_norm": 0.5654773712158203,
|
| 1422 |
+
"learning_rate": 3.433403638331553e-05,
|
| 1423 |
+
"loss": 0.0392,
|
| 1424 |
+
"num_input_tokens_seen": 167751808,
|
| 1425 |
+
"step": 885
|
| 1426 |
+
},
|
| 1427 |
+
{
|
| 1428 |
+
"epoch": 3.4165067178502877,
|
| 1429 |
+
"grad_norm": 0.5874072909355164,
|
| 1430 |
+
"learning_rate": 3.417814288136319e-05,
|
| 1431 |
+
"loss": 0.039,
|
| 1432 |
+
"num_input_tokens_seen": 168697984,
|
| 1433 |
+
"step": 890
|
| 1434 |
+
},
|
| 1435 |
+
{
|
| 1436 |
+
"epoch": 3.435700575815739,
|
| 1437 |
+
"grad_norm": 0.5615460276603699,
|
| 1438 |
+
"learning_rate": 3.4021835797797804e-05,
|
| 1439 |
+
"loss": 0.0397,
|
| 1440 |
+
"num_input_tokens_seen": 169634432,
|
| 1441 |
+
"step": 895
|
| 1442 |
+
},
|
| 1443 |
+
{
|
| 1444 |
+
"epoch": 3.45489443378119,
|
| 1445 |
+
"grad_norm": 0.5442382097244263,
|
| 1446 |
+
"learning_rate": 3.386512217606339e-05,
|
| 1447 |
+
"loss": 0.0408,
|
| 1448 |
+
"num_input_tokens_seen": 170583808,
|
| 1449 |
+
"step": 900
|
| 1450 |
+
},
|
| 1451 |
+
{
|
| 1452 |
+
"epoch": 3.474088291746641,
|
| 1453 |
+
"grad_norm": 0.5456710457801819,
|
| 1454 |
+
"learning_rate": 3.370800907792325e-05,
|
| 1455 |
+
"loss": 0.0393,
|
| 1456 |
+
"num_input_tokens_seen": 171575808,
|
| 1457 |
+
"step": 905
|
| 1458 |
+
},
|
| 1459 |
+
{
|
| 1460 |
+
"epoch": 3.4932821497120923,
|
| 1461 |
+
"grad_norm": 0.6690710186958313,
|
| 1462 |
+
"learning_rate": 3.355050358314172e-05,
|
| 1463 |
+
"loss": 0.0399,
|
| 1464 |
+
"num_input_tokens_seen": 172516224,
|
| 1465 |
+
"step": 910
|
| 1466 |
+
},
|
| 1467 |
+
{
|
| 1468 |
+
"epoch": 3.5124760076775434,
|
| 1469 |
+
"grad_norm": 0.5574905276298523,
|
| 1470 |
+
"learning_rate": 3.339261278916512e-05,
|
| 1471 |
+
"loss": 0.0382,
|
| 1472 |
+
"num_input_tokens_seen": 173462784,
|
| 1473 |
+
"step": 915
|
| 1474 |
+
},
|
| 1475 |
+
{
|
| 1476 |
+
"epoch": 3.531669865642994,
|
| 1477 |
+
"grad_norm": 0.6012794971466064,
|
| 1478 |
+
"learning_rate": 3.323434381080199e-05,
|
| 1479 |
+
"loss": 0.0393,
|
| 1480 |
+
"num_input_tokens_seen": 174417408,
|
| 1481 |
+
"step": 920
|
| 1482 |
+
},
|
| 1483 |
+
{
|
| 1484 |
+
"epoch": 3.5508637236084453,
|
| 1485 |
+
"grad_norm": 0.5913425087928772,
|
| 1486 |
+
"learning_rate": 3.307570377990245e-05,
|
| 1487 |
+
"loss": 0.0401,
|
| 1488 |
+
"num_input_tokens_seen": 175372160,
|
| 1489 |
+
"step": 925
|
| 1490 |
+
},
|
| 1491 |
+
{
|
| 1492 |
+
"epoch": 3.5700575815738964,
|
| 1493 |
+
"grad_norm": 0.5533618927001953,
|
| 1494 |
+
"learning_rate": 3.2916699845036816e-05,
|
| 1495 |
+
"loss": 0.0389,
|
| 1496 |
+
"num_input_tokens_seen": 176325376,
|
| 1497 |
+
"step": 930
|
| 1498 |
+
},
|
| 1499 |
+
{
|
| 1500 |
+
"epoch": 3.5892514395393476,
|
| 1501 |
+
"grad_norm": 0.5684598684310913,
|
| 1502 |
+
"learning_rate": 3.2757339171173506e-05,
|
| 1503 |
+
"loss": 0.0405,
|
| 1504 |
+
"num_input_tokens_seen": 177279232,
|
| 1505 |
+
"step": 935
|
| 1506 |
+
},
|
| 1507 |
+
{
|
| 1508 |
+
"epoch": 3.6084452975047983,
|
| 1509 |
+
"grad_norm": 0.5171712040901184,
|
| 1510 |
+
"learning_rate": 3.2597628939356175e-05,
|
| 1511 |
+
"loss": 0.0385,
|
| 1512 |
+
"num_input_tokens_seen": 178230656,
|
| 1513 |
+
"step": 940
|
| 1514 |
+
},
|
| 1515 |
+
{
|
| 1516 |
+
"epoch": 3.6276391554702494,
|
| 1517 |
+
"grad_norm": 0.5861181616783142,
|
| 1518 |
+
"learning_rate": 3.243757634638008e-05,
|
| 1519 |
+
"loss": 0.0406,
|
| 1520 |
+
"num_input_tokens_seen": 179165056,
|
| 1521 |
+
"step": 945
|
| 1522 |
+
},
|
| 1523 |
+
{
|
| 1524 |
+
"epoch": 3.6468330134357005,
|
| 1525 |
+
"grad_norm": 0.5875094532966614,
|
| 1526 |
+
"learning_rate": 3.227718860446782e-05,
|
| 1527 |
+
"loss": 0.0397,
|
| 1528 |
+
"num_input_tokens_seen": 180110464,
|
| 1529 |
+
"step": 950
|
| 1530 |
+
},
|
| 1531 |
+
{
|
| 1532 |
+
"epoch": 3.6660268714011517,
|
| 1533 |
+
"grad_norm": 0.518147885799408,
|
| 1534 |
+
"learning_rate": 3.211647294094437e-05,
|
| 1535 |
+
"loss": 0.0406,
|
| 1536 |
+
"num_input_tokens_seen": 181050368,
|
| 1537 |
+
"step": 955
|
| 1538 |
+
},
|
| 1539 |
+
{
|
| 1540 |
+
"epoch": 3.685220729366603,
|
| 1541 |
+
"grad_norm": 0.585909903049469,
|
| 1542 |
+
"learning_rate": 3.195543659791132e-05,
|
| 1543 |
+
"loss": 0.0399,
|
| 1544 |
+
"num_input_tokens_seen": 181985408,
|
| 1545 |
+
"step": 960
|
| 1546 |
+
},
|
| 1547 |
+
{
|
| 1548 |
+
"epoch": 3.704414587332054,
|
| 1549 |
+
"grad_norm": 0.5211689472198486,
|
| 1550 |
+
"learning_rate": 3.179408683192061e-05,
|
| 1551 |
+
"loss": 0.0403,
|
| 1552 |
+
"num_input_tokens_seen": 182932096,
|
| 1553 |
+
"step": 965
|
| 1554 |
+
},
|
| 1555 |
+
{
|
| 1556 |
+
"epoch": 3.7236084452975047,
|
| 1557 |
+
"grad_norm": 0.5516882538795471,
|
| 1558 |
+
"learning_rate": 3.163243091364752e-05,
|
| 1559 |
+
"loss": 0.0414,
|
| 1560 |
+
"num_input_tokens_seen": 183894528,
|
| 1561 |
+
"step": 970
|
| 1562 |
+
},
|
| 1563 |
+
{
|
| 1564 |
+
"epoch": 3.742802303262956,
|
| 1565 |
+
"grad_norm": 0.5610490441322327,
|
| 1566 |
+
"learning_rate": 3.147047612756302e-05,
|
| 1567 |
+
"loss": 0.04,
|
| 1568 |
+
"num_input_tokens_seen": 184841472,
|
| 1569 |
+
"step": 975
|
| 1570 |
+
},
|
| 1571 |
+
{
|
| 1572 |
+
"epoch": 3.761996161228407,
|
| 1573 |
+
"grad_norm": 0.5976274013519287,
|
| 1574 |
+
"learning_rate": 3.130822977160554e-05,
|
| 1575 |
+
"loss": 0.0411,
|
| 1576 |
+
"num_input_tokens_seen": 185803520,
|
| 1577 |
+
"step": 980
|
| 1578 |
+
},
|
| 1579 |
+
{
|
| 1580 |
+
"epoch": 3.781190019193858,
|
| 1581 |
+
"grad_norm": 0.5341821312904358,
|
| 1582 |
+
"learning_rate": 3.114569915685213e-05,
|
| 1583 |
+
"loss": 0.0416,
|
| 1584 |
+
"num_input_tokens_seen": 186746880,
|
| 1585 |
+
"step": 985
|
| 1586 |
+
},
|
| 1587 |
+
{
|
| 1588 |
+
"epoch": 3.800383877159309,
|
| 1589 |
+
"grad_norm": 0.5178216695785522,
|
| 1590 |
+
"learning_rate": 3.098289160718895e-05,
|
| 1591 |
+
"loss": 0.0418,
|
| 1592 |
+
"num_input_tokens_seen": 187703040,
|
| 1593 |
+
"step": 990
|
| 1594 |
+
},
|
| 1595 |
+
{
|
| 1596 |
+
"epoch": 3.81957773512476,
|
| 1597 |
+
"grad_norm": 0.6667547225952148,
|
| 1598 |
+
"learning_rate": 3.081981445898131e-05,
|
| 1599 |
+
"loss": 0.0399,
|
| 1600 |
+
"num_input_tokens_seen": 188650112,
|
| 1601 |
+
"step": 995
|
| 1602 |
+
},
|
| 1603 |
+
{
|
| 1604 |
+
"epoch": 3.838771593090211,
|
| 1605 |
+
"grad_norm": 0.6052145957946777,
|
| 1606 |
+
"learning_rate": 3.065647506074306e-05,
|
| 1607 |
+
"loss": 0.0369,
|
| 1608 |
+
"num_input_tokens_seen": 189577088,
|
| 1609 |
+
"step": 1000
|
| 1610 |
+
},
|
| 1611 |
+
{
|
| 1612 |
+
"epoch": 3.8579654510556622,
|
| 1613 |
+
"grad_norm": 0.5983301401138306,
|
| 1614 |
+
"learning_rate": 3.0492880772805433e-05,
|
| 1615 |
+
"loss": 0.0389,
|
| 1616 |
+
"num_input_tokens_seen": 190533376,
|
| 1617 |
+
"step": 1005
|
| 1618 |
+
},
|
| 1619 |
+
{
|
| 1620 |
+
"epoch": 3.8771593090211134,
|
| 1621 |
+
"grad_norm": 0.5493575930595398,
|
| 1622 |
+
"learning_rate": 3.03290389669854e-05,
|
| 1623 |
+
"loss": 0.039,
|
| 1624 |
+
"num_input_tokens_seen": 191484672,
|
| 1625 |
+
"step": 1010
|
| 1626 |
+
},
|
| 1627 |
+
{
|
| 1628 |
+
"epoch": 3.8963531669865645,
|
| 1629 |
+
"grad_norm": 0.5318569540977478,
|
| 1630 |
+
"learning_rate": 3.016495702625351e-05,
|
| 1631 |
+
"loss": 0.0401,
|
| 1632 |
+
"num_input_tokens_seen": 192425728,
|
| 1633 |
+
"step": 1015
|
| 1634 |
+
},
|
| 1635 |
+
{
|
| 1636 |
+
"epoch": 3.9155470249520152,
|
| 1637 |
+
"grad_norm": 0.5920220613479614,
|
| 1638 |
+
"learning_rate": 3.0000642344401113e-05,
|
| 1639 |
+
"loss": 0.0408,
|
| 1640 |
+
"num_input_tokens_seen": 193386368,
|
| 1641 |
+
"step": 1020
|
| 1642 |
+
},
|
| 1643 |
+
{
|
| 1644 |
+
"epoch": 3.9347408829174664,
|
| 1645 |
+
"grad_norm": 0.48210155963897705,
|
| 1646 |
+
"learning_rate": 2.983610232570728e-05,
|
| 1647 |
+
"loss": 0.0389,
|
| 1648 |
+
"num_input_tokens_seen": 194338560,
|
| 1649 |
+
"step": 1025
|
| 1650 |
+
},
|
| 1651 |
+
{
|
| 1652 |
+
"epoch": 3.9539347408829175,
|
| 1653 |
+
"grad_norm": 0.551249623298645,
|
| 1654 |
+
"learning_rate": 2.9671344384605127e-05,
|
| 1655 |
+
"loss": 0.0392,
|
| 1656 |
+
"num_input_tokens_seen": 195283968,
|
| 1657 |
+
"step": 1030
|
| 1658 |
+
},
|
| 1659 |
+
{
|
| 1660 |
+
"epoch": 3.9731285988483687,
|
| 1661 |
+
"grad_norm": 0.5769145488739014,
|
| 1662 |
+
"learning_rate": 2.950637594534765e-05,
|
| 1663 |
+
"loss": 0.0397,
|
| 1664 |
+
"num_input_tokens_seen": 196222080,
|
| 1665 |
+
"step": 1035
|
| 1666 |
+
},
|
| 1667 |
+
{
|
| 1668 |
+
"epoch": 3.9923224568138194,
|
| 1669 |
+
"grad_norm": 0.49872222542762756,
|
| 1670 |
+
"learning_rate": 2.9341204441673266e-05,
|
| 1671 |
+
"loss": 0.0396,
|
| 1672 |
+
"num_input_tokens_seen": 197174016,
|
| 1673 |
+
"step": 1040
|
| 1674 |
+
},
|
| 1675 |
+
{
|
| 1676 |
+
"epoch": 4.0115163147792705,
|
| 1677 |
+
"grad_norm": 0.32796505093574524,
|
| 1678 |
+
"learning_rate": 2.917583731647077e-05,
|
| 1679 |
+
"loss": 0.0271,
|
| 1680 |
+
"num_input_tokens_seen": 198129792,
|
| 1681 |
+
"step": 1045
|
| 1682 |
+
},
|
| 1683 |
+
{
|
| 1684 |
+
"epoch": 4.030710172744722,
|
| 1685 |
+
"grad_norm": 0.4801371395587921,
|
| 1686 |
+
"learning_rate": 2.9010282021444008e-05,
|
| 1687 |
+
"loss": 0.0188,
|
| 1688 |
+
"num_input_tokens_seen": 199088384,
|
| 1689 |
+
"step": 1050
|
| 1690 |
+
},
|
| 1691 |
+
{
|
| 1692 |
+
"epoch": 4.049904030710173,
|
| 1693 |
+
"grad_norm": 0.5048861503601074,
|
| 1694 |
+
"learning_rate": 2.8844546016776013e-05,
|
| 1695 |
+
"loss": 0.0195,
|
| 1696 |
+
"num_input_tokens_seen": 200040832,
|
| 1697 |
+
"step": 1055
|
| 1698 |
+
},
|
| 1699 |
+
{
|
| 1700 |
+
"epoch": 4.069097888675624,
|
| 1701 |
+
"grad_norm": 0.44816502928733826,
|
| 1702 |
+
"learning_rate": 2.8678636770792906e-05,
|
| 1703 |
+
"loss": 0.0174,
|
| 1704 |
+
"num_input_tokens_seen": 200993024,
|
| 1705 |
+
"step": 1060
|
| 1706 |
+
},
|
| 1707 |
+
{
|
| 1708 |
+
"epoch": 4.088291746641075,
|
| 1709 |
+
"grad_norm": 0.5177501440048218,
|
| 1710 |
+
"learning_rate": 2.851256175962732e-05,
|
| 1711 |
+
"loss": 0.0175,
|
| 1712 |
+
"num_input_tokens_seen": 201925376,
|
| 1713 |
+
"step": 1065
|
| 1714 |
+
},
|
| 1715 |
+
{
|
| 1716 |
+
"epoch": 4.107485604606526,
|
| 1717 |
+
"grad_norm": 0.44937270879745483,
|
| 1718 |
+
"learning_rate": 2.8346328466881545e-05,
|
| 1719 |
+
"loss": 0.0175,
|
| 1720 |
+
"num_input_tokens_seen": 202875520,
|
| 1721 |
+
"step": 1070
|
| 1722 |
+
},
|
| 1723 |
+
{
|
| 1724 |
+
"epoch": 4.126679462571977,
|
| 1725 |
+
"grad_norm": 0.46722468733787537,
|
| 1726 |
+
"learning_rate": 2.8179944383290274e-05,
|
| 1727 |
+
"loss": 0.0177,
|
| 1728 |
+
"num_input_tokens_seen": 203793536,
|
| 1729 |
+
"step": 1075
|
| 1730 |
+
},
|
| 1731 |
+
{
|
| 1732 |
+
"epoch": 4.145873320537428,
|
| 1733 |
+
"grad_norm": 0.47768163681030273,
|
| 1734 |
+
"learning_rate": 2.8013417006383076e-05,
|
| 1735 |
+
"loss": 0.0178,
|
| 1736 |
+
"num_input_tokens_seen": 204730496,
|
| 1737 |
+
"step": 1080
|
| 1738 |
+
},
|
| 1739 |
+
{
|
| 1740 |
+
"epoch": 4.165067178502879,
|
| 1741 |
+
"grad_norm": 0.5000248551368713,
|
| 1742 |
+
"learning_rate": 2.784675384014656e-05,
|
| 1743 |
+
"loss": 0.0183,
|
| 1744 |
+
"num_input_tokens_seen": 205692416,
|
| 1745 |
+
"step": 1085
|
| 1746 |
+
},
|
| 1747 |
+
{
|
| 1748 |
+
"epoch": 4.18426103646833,
|
| 1749 |
+
"grad_norm": 0.43874186277389526,
|
| 1750 |
+
"learning_rate": 2.7679962394686198e-05,
|
| 1751 |
+
"loss": 0.0163,
|
| 1752 |
+
"num_input_tokens_seen": 206628608,
|
| 1753 |
+
"step": 1090
|
| 1754 |
+
},
|
| 1755 |
+
{
|
| 1756 |
+
"epoch": 4.203454894433781,
|
| 1757 |
+
"grad_norm": 0.6000416874885559,
|
| 1758 |
+
"learning_rate": 2.751305018588793e-05,
|
| 1759 |
+
"loss": 0.0173,
|
| 1760 |
+
"num_input_tokens_seen": 207572096,
|
| 1761 |
+
"step": 1095
|
| 1762 |
+
},
|
| 1763 |
+
{
|
| 1764 |
+
"epoch": 4.222648752399232,
|
| 1765 |
+
"grad_norm": 0.5658661127090454,
|
| 1766 |
+
"learning_rate": 2.7346024735079486e-05,
|
| 1767 |
+
"loss": 0.0174,
|
| 1768 |
+
"num_input_tokens_seen": 208517376,
|
| 1769 |
+
"step": 1100
|
| 1770 |
+
},
|
| 1771 |
+
{
|
| 1772 |
+
"epoch": 4.241842610364683,
|
| 1773 |
+
"grad_norm": 0.47470784187316895,
|
| 1774 |
+
"learning_rate": 2.717889356869146e-05,
|
| 1775 |
+
"loss": 0.017,
|
| 1776 |
+
"num_input_tokens_seen": 209485056,
|
| 1777 |
+
"step": 1105
|
| 1778 |
+
},
|
| 1779 |
+
{
|
| 1780 |
+
"epoch": 4.2610364683301345,
|
| 1781 |
+
"grad_norm": 0.5162433385848999,
|
| 1782 |
+
"learning_rate": 2.7011664217918154e-05,
|
| 1783 |
+
"loss": 0.0176,
|
| 1784 |
+
"num_input_tokens_seen": 210415232,
|
| 1785 |
+
"step": 1110
|
| 1786 |
+
},
|
| 1787 |
+
{
|
| 1788 |
+
"epoch": 4.280230326295586,
|
| 1789 |
+
"grad_norm": 0.5180822014808655,
|
| 1790 |
+
"learning_rate": 2.684434421837821e-05,
|
| 1791 |
+
"loss": 0.018,
|
| 1792 |
+
"num_input_tokens_seen": 211362560,
|
| 1793 |
+
"step": 1115
|
| 1794 |
+
},
|
| 1795 |
+
{
|
| 1796 |
+
"epoch": 4.299424184261037,
|
| 1797 |
+
"grad_norm": 0.5464392304420471,
|
| 1798 |
+
"learning_rate": 2.667694110977506e-05,
|
| 1799 |
+
"loss": 0.0176,
|
| 1800 |
+
"num_input_tokens_seen": 212339456,
|
| 1801 |
+
"step": 1120
|
| 1802 |
+
},
|
| 1803 |
+
{
|
| 1804 |
+
"epoch": 4.318618042226488,
|
| 1805 |
+
"grad_norm": 0.5567265748977661,
|
| 1806 |
+
"learning_rate": 2.6509462435557152e-05,
|
| 1807 |
+
"loss": 0.0187,
|
| 1808 |
+
"num_input_tokens_seen": 213288320,
|
| 1809 |
+
"step": 1125
|
| 1810 |
+
},
|
| 1811 |
+
{
|
| 1812 |
+
"epoch": 4.337811900191938,
|
| 1813 |
+
"grad_norm": 0.5592502951622009,
|
| 1814 |
+
"learning_rate": 2.6341915742578037e-05,
|
| 1815 |
+
"loss": 0.0189,
|
| 1816 |
+
"num_input_tokens_seen": 214232576,
|
| 1817 |
+
"step": 1130
|
| 1818 |
+
},
|
| 1819 |
+
{
|
| 1820 |
+
"epoch": 4.357005758157389,
|
| 1821 |
+
"grad_norm": 0.53173828125,
|
| 1822 |
+
"learning_rate": 2.617430858075632e-05,
|
| 1823 |
+
"loss": 0.0174,
|
| 1824 |
+
"num_input_tokens_seen": 215180800,
|
| 1825 |
+
"step": 1135
|
| 1826 |
+
},
|
| 1827 |
+
{
|
| 1828 |
+
"epoch": 4.3761996161228405,
|
| 1829 |
+
"grad_norm": 0.4227728843688965,
|
| 1830 |
+
"learning_rate": 2.600664850273538e-05,
|
| 1831 |
+
"loss": 0.0175,
|
| 1832 |
+
"num_input_tokens_seen": 216116480,
|
| 1833 |
+
"step": 1140
|
| 1834 |
+
},
|
| 1835 |
+
{
|
| 1836 |
+
"epoch": 4.395393474088292,
|
| 1837 |
+
"grad_norm": 0.6441555023193359,
|
| 1838 |
+
"learning_rate": 2.5838943063543136e-05,
|
| 1839 |
+
"loss": 0.0174,
|
| 1840 |
+
"num_input_tokens_seen": 217079552,
|
| 1841 |
+
"step": 1145
|
| 1842 |
+
},
|
| 1843 |
+
{
|
| 1844 |
+
"epoch": 4.414587332053743,
|
| 1845 |
+
"grad_norm": 0.4902968108654022,
|
| 1846 |
+
"learning_rate": 2.5671199820251534e-05,
|
| 1847 |
+
"loss": 0.016,
|
| 1848 |
+
"num_input_tokens_seen": 218026496,
|
| 1849 |
+
"step": 1150
|
| 1850 |
+
},
|
| 1851 |
+
{
|
| 1852 |
+
"epoch": 4.433781190019194,
|
| 1853 |
+
"grad_norm": 0.46307000517845154,
|
| 1854 |
+
"learning_rate": 2.550342633163601e-05,
|
| 1855 |
+
"loss": 0.0171,
|
| 1856 |
+
"num_input_tokens_seen": 218977152,
|
| 1857 |
+
"step": 1155
|
| 1858 |
+
},
|
| 1859 |
+
{
|
| 1860 |
+
"epoch": 4.452975047984645,
|
| 1861 |
+
"grad_norm": 0.4390980899333954,
|
| 1862 |
+
"learning_rate": 2.5335630157834937e-05,
|
| 1863 |
+
"loss": 0.0178,
|
| 1864 |
+
"num_input_tokens_seen": 219918080,
|
| 1865 |
+
"step": 1160
|
| 1866 |
+
},
|
| 1867 |
+
{
|
| 1868 |
+
"epoch": 4.472168905950096,
|
| 1869 |
+
"grad_norm": 0.5380067825317383,
|
| 1870 |
+
"learning_rate": 2.5167818860008908e-05,
|
| 1871 |
+
"loss": 0.0182,
|
| 1872 |
+
"num_input_tokens_seen": 220859776,
|
| 1873 |
+
"step": 1165
|
| 1874 |
+
},
|
| 1875 |
+
{
|
| 1876 |
+
"epoch": 4.491362763915547,
|
| 1877 |
+
"grad_norm": 0.6842356324195862,
|
| 1878 |
+
"learning_rate": 2.5e-05,
|
| 1879 |
+
"loss": 0.0184,
|
| 1880 |
+
"num_input_tokens_seen": 221800192,
|
| 1881 |
+
"step": 1170
|
| 1882 |
+
},
|
| 1883 |
+
{
|
| 1884 |
+
"epoch": 4.510556621880998,
|
| 1885 |
+
"grad_norm": 0.5243207812309265,
|
| 1886 |
+
"learning_rate": 2.48321811399911e-05,
|
| 1887 |
+
"loss": 0.0182,
|
| 1888 |
+
"num_input_tokens_seen": 222755840,
|
| 1889 |
+
"step": 1175
|
| 1890 |
+
},
|
| 1891 |
+
{
|
| 1892 |
+
"epoch": 4.529750479846449,
|
| 1893 |
+
"grad_norm": 0.5043371915817261,
|
| 1894 |
+
"learning_rate": 2.4664369842165068e-05,
|
| 1895 |
+
"loss": 0.0182,
|
| 1896 |
+
"num_input_tokens_seen": 223683328,
|
| 1897 |
+
"step": 1180
|
| 1898 |
+
},
|
| 1899 |
+
{
|
| 1900 |
+
"epoch": 4.5489443378119,
|
| 1901 |
+
"grad_norm": 0.5096651315689087,
|
| 1902 |
+
"learning_rate": 2.4496573668363996e-05,
|
| 1903 |
+
"loss": 0.0192,
|
| 1904 |
+
"num_input_tokens_seen": 224617088,
|
| 1905 |
+
"step": 1185
|
| 1906 |
+
},
|
| 1907 |
+
{
|
| 1908 |
+
"epoch": 4.568138195777351,
|
| 1909 |
+
"grad_norm": 0.4918656349182129,
|
| 1910 |
+
"learning_rate": 2.4328800179748475e-05,
|
| 1911 |
+
"loss": 0.0189,
|
| 1912 |
+
"num_input_tokens_seen": 225549824,
|
| 1913 |
+
"step": 1190
|
| 1914 |
+
},
|
| 1915 |
+
{
|
| 1916 |
+
"epoch": 4.587332053742802,
|
| 1917 |
+
"grad_norm": 0.50703364610672,
|
| 1918 |
+
"learning_rate": 2.4161056936456873e-05,
|
| 1919 |
+
"loss": 0.0179,
|
| 1920 |
+
"num_input_tokens_seen": 226499968,
|
| 1921 |
+
"step": 1195
|
| 1922 |
+
},
|
| 1923 |
+
{
|
| 1924 |
+
"epoch": 4.606525911708253,
|
| 1925 |
+
"grad_norm": 0.535247266292572,
|
| 1926 |
+
"learning_rate": 2.399335149726463e-05,
|
| 1927 |
+
"loss": 0.0184,
|
| 1928 |
+
"num_input_tokens_seen": 227438592,
|
| 1929 |
+
"step": 1200
|
| 1930 |
+
},
|
| 1931 |
+
{
|
| 1932 |
+
"epoch": 4.6257197696737045,
|
| 1933 |
+
"grad_norm": 0.5735894441604614,
|
| 1934 |
+
"learning_rate": 2.3825691419243694e-05,
|
| 1935 |
+
"loss": 0.0173,
|
| 1936 |
+
"num_input_tokens_seen": 228392064,
|
| 1937 |
+
"step": 1205
|
| 1938 |
+
},
|
| 1939 |
+
{
|
| 1940 |
+
"epoch": 4.644913627639156,
|
| 1941 |
+
"grad_norm": 0.525362491607666,
|
| 1942 |
+
"learning_rate": 2.365808425742196e-05,
|
| 1943 |
+
"loss": 0.0172,
|
| 1944 |
+
"num_input_tokens_seen": 229337856,
|
| 1945 |
+
"step": 1210
|
| 1946 |
+
},
|
| 1947 |
+
{
|
| 1948 |
+
"epoch": 4.664107485604607,
|
| 1949 |
+
"grad_norm": 0.548953115940094,
|
| 1950 |
+
"learning_rate": 2.3490537564442847e-05,
|
| 1951 |
+
"loss": 0.0172,
|
| 1952 |
+
"num_input_tokens_seen": 230301184,
|
| 1953 |
+
"step": 1215
|
| 1954 |
+
},
|
| 1955 |
+
{
|
| 1956 |
+
"epoch": 4.683301343570058,
|
| 1957 |
+
"grad_norm": 0.543995201587677,
|
| 1958 |
+
"learning_rate": 2.3323058890224938e-05,
|
| 1959 |
+
"loss": 0.0183,
|
| 1960 |
+
"num_input_tokens_seen": 231239808,
|
| 1961 |
+
"step": 1220
|
| 1962 |
+
},
|
| 1963 |
+
{
|
| 1964 |
+
"epoch": 4.702495201535509,
|
| 1965 |
+
"grad_norm": 0.4721289873123169,
|
| 1966 |
+
"learning_rate": 2.3155655781621793e-05,
|
| 1967 |
+
"loss": 0.017,
|
| 1968 |
+
"num_input_tokens_seen": 232200960,
|
| 1969 |
+
"step": 1225
|
| 1970 |
+
},
|
| 1971 |
+
{
|
| 1972 |
+
"epoch": 4.72168905950096,
|
| 1973 |
+
"grad_norm": 0.5055978298187256,
|
| 1974 |
+
"learning_rate": 2.2988335782081855e-05,
|
| 1975 |
+
"loss": 0.018,
|
| 1976 |
+
"num_input_tokens_seen": 233170176,
|
| 1977 |
+
"step": 1230
|
| 1978 |
+
},
|
| 1979 |
+
{
|
| 1980 |
+
"epoch": 4.74088291746641,
|
| 1981 |
+
"grad_norm": 0.5819576382637024,
|
| 1982 |
+
"learning_rate": 2.2821106431308544e-05,
|
| 1983 |
+
"loss": 0.0192,
|
| 1984 |
+
"num_input_tokens_seen": 234121984,
|
| 1985 |
+
"step": 1235
|
| 1986 |
+
},
|
| 1987 |
+
{
|
| 1988 |
+
"epoch": 4.760076775431862,
|
| 1989 |
+
"grad_norm": 0.5343950986862183,
|
| 1990 |
+
"learning_rate": 2.265397526492052e-05,
|
| 1991 |
+
"loss": 0.019,
|
| 1992 |
+
"num_input_tokens_seen": 235080448,
|
| 1993 |
+
"step": 1240
|
| 1994 |
+
},
|
| 1995 |
+
{
|
| 1996 |
+
"epoch": 4.779270633397313,
|
| 1997 |
+
"grad_norm": 0.5696731805801392,
|
| 1998 |
+
"learning_rate": 2.2486949814112077e-05,
|
| 1999 |
+
"loss": 0.0167,
|
| 2000 |
+
"num_input_tokens_seen": 236029440,
|
| 2001 |
+
"step": 1245
|
| 2002 |
+
},
|
| 2003 |
+
{
|
| 2004 |
+
"epoch": 4.798464491362764,
|
| 2005 |
+
"grad_norm": 0.513455331325531,
|
| 2006 |
+
"learning_rate": 2.2320037605313808e-05,
|
| 2007 |
+
"loss": 0.0172,
|
| 2008 |
+
"num_input_tokens_seen": 236989952,
|
| 2009 |
+
"step": 1250
|
| 2010 |
+
},
|
| 2011 |
+
{
|
| 2012 |
+
"epoch": 4.817658349328215,
|
| 2013 |
+
"grad_norm": 0.5600264072418213,
|
| 2014 |
+
"learning_rate": 2.2153246159853446e-05,
|
| 2015 |
+
"loss": 0.0178,
|
| 2016 |
+
"num_input_tokens_seen": 237952640,
|
| 2017 |
+
"step": 1255
|
| 2018 |
+
},
|
| 2019 |
+
{
|
| 2020 |
+
"epoch": 4.836852207293666,
|
| 2021 |
+
"grad_norm": 0.5633450746536255,
|
| 2022 |
+
"learning_rate": 2.1986582993616926e-05,
|
| 2023 |
+
"loss": 0.0179,
|
| 2024 |
+
"num_input_tokens_seen": 238887552,
|
| 2025 |
+
"step": 1260
|
| 2026 |
+
},
|
| 2027 |
+
{
|
| 2028 |
+
"epoch": 4.856046065259117,
|
| 2029 |
+
"grad_norm": 0.4715237021446228,
|
| 2030 |
+
"learning_rate": 2.1820055616709735e-05,
|
| 2031 |
+
"loss": 0.0163,
|
| 2032 |
+
"num_input_tokens_seen": 239837440,
|
| 2033 |
+
"step": 1265
|
| 2034 |
+
},
|
| 2035 |
+
{
|
| 2036 |
+
"epoch": 4.8752399232245685,
|
| 2037 |
+
"grad_norm": 0.6615576148033142,
|
| 2038 |
+
"learning_rate": 2.1653671533118468e-05,
|
| 2039 |
+
"loss": 0.019,
|
| 2040 |
+
"num_input_tokens_seen": 240771712,
|
| 2041 |
+
"step": 1270
|
| 2042 |
+
},
|
| 2043 |
+
{
|
| 2044 |
+
"epoch": 4.894433781190019,
|
| 2045 |
+
"grad_norm": 0.4694409668445587,
|
| 2046 |
+
"learning_rate": 2.148743824037269e-05,
|
| 2047 |
+
"loss": 0.0169,
|
| 2048 |
+
"num_input_tokens_seen": 241706496,
|
| 2049 |
+
"step": 1275
|
| 2050 |
+
},
|
| 2051 |
+
{
|
| 2052 |
+
"epoch": 4.91362763915547,
|
| 2053 |
+
"grad_norm": 0.5807188153266907,
|
| 2054 |
+
"learning_rate": 2.1321363229207096e-05,
|
| 2055 |
+
"loss": 0.0165,
|
| 2056 |
+
"num_input_tokens_seen": 242651520,
|
| 2057 |
+
"step": 1280
|
| 2058 |
+
},
|
| 2059 |
+
{
|
| 2060 |
+
"epoch": 4.932821497120921,
|
| 2061 |
+
"grad_norm": 0.5913830399513245,
|
| 2062 |
+
"learning_rate": 2.115545398322399e-05,
|
| 2063 |
+
"loss": 0.018,
|
| 2064 |
+
"num_input_tokens_seen": 243610880,
|
| 2065 |
+
"step": 1285
|
| 2066 |
+
},
|
| 2067 |
+
{
|
| 2068 |
+
"epoch": 4.952015355086372,
|
| 2069 |
+
"grad_norm": 0.47264307737350464,
|
| 2070 |
+
"learning_rate": 2.098971797855599e-05,
|
| 2071 |
+
"loss": 0.0171,
|
| 2072 |
+
"num_input_tokens_seen": 244553344,
|
| 2073 |
+
"step": 1290
|
| 2074 |
+
},
|
| 2075 |
+
{
|
| 2076 |
+
"epoch": 4.971209213051823,
|
| 2077 |
+
"grad_norm": 0.5455983281135559,
|
| 2078 |
+
"learning_rate": 2.0824162683529224e-05,
|
| 2079 |
+
"loss": 0.0178,
|
| 2080 |
+
"num_input_tokens_seen": 245489280,
|
| 2081 |
+
"step": 1295
|
| 2082 |
+
},
|
| 2083 |
+
{
|
| 2084 |
+
"epoch": 4.990403071017274,
|
| 2085 |
+
"grad_norm": 0.5236849784851074,
|
| 2086 |
+
"learning_rate": 2.0658795558326743e-05,
|
| 2087 |
+
"loss": 0.0177,
|
| 2088 |
+
"num_input_tokens_seen": 246430848,
|
| 2089 |
+
"step": 1300
|
| 2090 |
+
},
|
| 2091 |
+
{
|
| 2092 |
+
"epoch": 5.009596928982726,
|
| 2093 |
+
"grad_norm": 0.3665928840637207,
|
| 2094 |
+
"learning_rate": 2.0493624054652357e-05,
|
| 2095 |
+
"loss": 0.0129,
|
| 2096 |
+
"num_input_tokens_seen": 247392000,
|
| 2097 |
+
"step": 1305
|
| 2098 |
+
},
|
| 2099 |
+
{
|
| 2100 |
+
"epoch": 5.028790786948177,
|
| 2101 |
+
"grad_norm": 0.2873888313770294,
|
| 2102 |
+
"learning_rate": 2.0328655615394882e-05,
|
| 2103 |
+
"loss": 0.0076,
|
| 2104 |
+
"num_input_tokens_seen": 248329472,
|
| 2105 |
+
"step": 1310
|
| 2106 |
+
},
|
| 2107 |
+
{
|
| 2108 |
+
"epoch": 5.047984644913628,
|
| 2109 |
+
"grad_norm": 0.3191753029823303,
|
| 2110 |
+
"learning_rate": 2.016389767429272e-05,
|
| 2111 |
+
"loss": 0.0069,
|
| 2112 |
+
"num_input_tokens_seen": 249250688,
|
| 2113 |
+
"step": 1315
|
| 2114 |
+
},
|
| 2115 |
+
{
|
| 2116 |
+
"epoch": 5.067178502879079,
|
| 2117 |
+
"grad_norm": 0.3973754048347473,
|
| 2118 |
+
"learning_rate": 1.9999357655598893e-05,
|
| 2119 |
+
"loss": 0.0068,
|
| 2120 |
+
"num_input_tokens_seen": 250189312,
|
| 2121 |
+
"step": 1320
|
| 2122 |
+
},
|
| 2123 |
+
{
|
| 2124 |
+
"epoch": 5.08637236084453,
|
| 2125 |
+
"grad_norm": 0.27491700649261475,
|
| 2126 |
+
"learning_rate": 1.98350429737465e-05,
|
| 2127 |
+
"loss": 0.0063,
|
| 2128 |
+
"num_input_tokens_seen": 251125632,
|
| 2129 |
+
"step": 1325
|
| 2130 |
+
},
|
| 2131 |
+
{
|
| 2132 |
+
"epoch": 5.10556621880998,
|
| 2133 |
+
"grad_norm": 0.448505163192749,
|
| 2134 |
+
"learning_rate": 1.9670961033014605e-05,
|
| 2135 |
+
"loss": 0.0063,
|
| 2136 |
+
"num_input_tokens_seen": 252084224,
|
| 2137 |
+
"step": 1330
|
| 2138 |
+
},
|
| 2139 |
+
{
|
| 2140 |
+
"epoch": 5.1247600767754315,
|
| 2141 |
+
"grad_norm": 0.39973142743110657,
|
| 2142 |
+
"learning_rate": 1.950711922719458e-05,
|
| 2143 |
+
"loss": 0.0067,
|
| 2144 |
+
"num_input_tokens_seen": 253038080,
|
| 2145 |
+
"step": 1335
|
| 2146 |
+
},
|
| 2147 |
+
{
|
| 2148 |
+
"epoch": 5.143953934740883,
|
| 2149 |
+
"grad_norm": 0.3733747899532318,
|
| 2150 |
+
"learning_rate": 1.934352493925695e-05,
|
| 2151 |
+
"loss": 0.0059,
|
| 2152 |
+
"num_input_tokens_seen": 253959936,
|
| 2153 |
+
"step": 1340
|
| 2154 |
+
},
|
| 2155 |
+
{
|
| 2156 |
+
"epoch": 5.163147792706334,
|
| 2157 |
+
"grad_norm": 0.33044806122779846,
|
| 2158 |
+
"learning_rate": 1.9180185541018695e-05,
|
| 2159 |
+
"loss": 0.006,
|
| 2160 |
+
"num_input_tokens_seen": 254898176,
|
| 2161 |
+
"step": 1345
|
| 2162 |
+
},
|
| 2163 |
+
{
|
| 2164 |
+
"epoch": 5.182341650671785,
|
| 2165 |
+
"grad_norm": 0.39706701040267944,
|
| 2166 |
+
"learning_rate": 1.9017108392811065e-05,
|
| 2167 |
+
"loss": 0.006,
|
| 2168 |
+
"num_input_tokens_seen": 255850368,
|
| 2169 |
+
"step": 1350
|
| 2170 |
+
},
|
| 2171 |
+
{
|
| 2172 |
+
"epoch": 5.201535508637236,
|
| 2173 |
+
"grad_norm": 0.391462117433548,
|
| 2174 |
+
"learning_rate": 1.8854300843147875e-05,
|
| 2175 |
+
"loss": 0.0062,
|
| 2176 |
+
"num_input_tokens_seen": 256820096,
|
| 2177 |
+
"step": 1355
|
| 2178 |
+
},
|
| 2179 |
+
{
|
| 2180 |
+
"epoch": 5.220729366602687,
|
| 2181 |
+
"grad_norm": 0.41619014739990234,
|
| 2182 |
+
"learning_rate": 1.8691770228394456e-05,
|
| 2183 |
+
"loss": 0.0063,
|
| 2184 |
+
"num_input_tokens_seen": 257742080,
|
| 2185 |
+
"step": 1360
|
| 2186 |
+
},
|
| 2187 |
+
{
|
| 2188 |
+
"epoch": 5.239923224568138,
|
| 2189 |
+
"grad_norm": 0.3508637547492981,
|
| 2190 |
+
"learning_rate": 1.852952387243698e-05,
|
| 2191 |
+
"loss": 0.0054,
|
| 2192 |
+
"num_input_tokens_seen": 258705664,
|
| 2193 |
+
"step": 1365
|
| 2194 |
+
},
|
| 2195 |
+
{
|
| 2196 |
+
"epoch": 5.25911708253359,
|
| 2197 |
+
"grad_norm": 0.3165414333343506,
|
| 2198 |
+
"learning_rate": 1.8367569086352483e-05,
|
| 2199 |
+
"loss": 0.006,
|
| 2200 |
+
"num_input_tokens_seen": 259630464,
|
| 2201 |
+
"step": 1370
|
| 2202 |
+
},
|
| 2203 |
+
{
|
| 2204 |
+
"epoch": 5.278310940499041,
|
| 2205 |
+
"grad_norm": 0.31605008244514465,
|
| 2206 |
+
"learning_rate": 1.820591316807939e-05,
|
| 2207 |
+
"loss": 0.006,
|
| 2208 |
+
"num_input_tokens_seen": 260580352,
|
| 2209 |
+
"step": 1375
|
| 2210 |
+
},
|
| 2211 |
+
{
|
| 2212 |
+
"epoch": 5.297504798464491,
|
| 2213 |
+
"grad_norm": 0.235918790102005,
|
| 2214 |
+
"learning_rate": 1.8044563402088684e-05,
|
| 2215 |
+
"loss": 0.005,
|
| 2216 |
+
"num_input_tokens_seen": 261539072,
|
| 2217 |
+
"step": 1380
|
| 2218 |
+
},
|
| 2219 |
+
{
|
| 2220 |
+
"epoch": 5.316698656429942,
|
| 2221 |
+
"grad_norm": 0.37443870306015015,
|
| 2222 |
+
"learning_rate": 1.788352705905563e-05,
|
| 2223 |
+
"loss": 0.0049,
|
| 2224 |
+
"num_input_tokens_seen": 262481152,
|
| 2225 |
+
"step": 1385
|
| 2226 |
+
},
|
| 2227 |
+
{
|
| 2228 |
+
"epoch": 5.335892514395393,
|
| 2229 |
+
"grad_norm": 0.42907220125198364,
|
| 2230 |
+
"learning_rate": 1.7722811395532178e-05,
|
| 2231 |
+
"loss": 0.0052,
|
| 2232 |
+
"num_input_tokens_seen": 263416064,
|
| 2233 |
+
"step": 1390
|
| 2234 |
+
},
|
| 2235 |
+
{
|
| 2236 |
+
"epoch": 5.355086372360844,
|
| 2237 |
+
"grad_norm": 0.3673328161239624,
|
| 2238 |
+
"learning_rate": 1.756242365361993e-05,
|
| 2239 |
+
"loss": 0.0055,
|
| 2240 |
+
"num_input_tokens_seen": 264374016,
|
| 2241 |
+
"step": 1395
|
| 2242 |
+
},
|
| 2243 |
+
{
|
| 2244 |
+
"epoch": 5.3742802303262955,
|
| 2245 |
+
"grad_norm": 0.40815985202789307,
|
| 2246 |
+
"learning_rate": 1.740237106064383e-05,
|
| 2247 |
+
"loss": 0.0057,
|
| 2248 |
+
"num_input_tokens_seen": 265326976,
|
| 2249 |
+
"step": 1400
|
| 2250 |
+
},
|
| 2251 |
+
{
|
| 2252 |
+
"epoch": 5.393474088291747,
|
| 2253 |
+
"grad_norm": 0.3974185287952423,
|
| 2254 |
+
"learning_rate": 1.72426608288265e-05,
|
| 2255 |
+
"loss": 0.0053,
|
| 2256 |
+
"num_input_tokens_seen": 266300672,
|
| 2257 |
+
"step": 1405
|
| 2258 |
+
},
|
| 2259 |
+
{
|
| 2260 |
+
"epoch": 5.412667946257198,
|
| 2261 |
+
"grad_norm": 0.415446013212204,
|
| 2262 |
+
"learning_rate": 1.7083300154963193e-05,
|
| 2263 |
+
"loss": 0.006,
|
| 2264 |
+
"num_input_tokens_seen": 267247488,
|
| 2265 |
+
"step": 1410
|
| 2266 |
+
},
|
| 2267 |
+
{
|
| 2268 |
+
"epoch": 5.431861804222649,
|
| 2269 |
+
"grad_norm": 0.24956613779067993,
|
| 2270 |
+
"learning_rate": 1.6924296220097556e-05,
|
| 2271 |
+
"loss": 0.0054,
|
| 2272 |
+
"num_input_tokens_seen": 268195072,
|
| 2273 |
+
"step": 1415
|
| 2274 |
+
},
|
| 2275 |
+
{
|
| 2276 |
+
"epoch": 5.4510556621881,
|
| 2277 |
+
"grad_norm": 0.3614320456981659,
|
| 2278 |
+
"learning_rate": 1.6765656189198013e-05,
|
| 2279 |
+
"loss": 0.0058,
|
| 2280 |
+
"num_input_tokens_seen": 269156736,
|
| 2281 |
+
"step": 1420
|
| 2282 |
+
},
|
| 2283 |
+
{
|
| 2284 |
+
"epoch": 5.470249520153551,
|
| 2285 |
+
"grad_norm": 0.3081935942173004,
|
| 2286 |
+
"learning_rate": 1.6607387210834887e-05,
|
| 2287 |
+
"loss": 0.0059,
|
| 2288 |
+
"num_input_tokens_seen": 270111232,
|
| 2289 |
+
"step": 1425
|
| 2290 |
+
},
|
| 2291 |
+
{
|
| 2292 |
+
"epoch": 5.4894433781190015,
|
| 2293 |
+
"grad_norm": 0.616385281085968,
|
| 2294 |
+
"learning_rate": 1.6449496416858284e-05,
|
| 2295 |
+
"loss": 0.006,
|
| 2296 |
+
"num_input_tokens_seen": 271075328,
|
| 2297 |
+
"step": 1430
|
| 2298 |
+
},
|
| 2299 |
+
{
|
| 2300 |
+
"epoch": 5.508637236084453,
|
| 2301 |
+
"grad_norm": 0.2966477572917938,
|
| 2302 |
+
"learning_rate": 1.6291990922076745e-05,
|
| 2303 |
+
"loss": 0.0056,
|
| 2304 |
+
"num_input_tokens_seen": 272035200,
|
| 2305 |
+
"step": 1435
|
| 2306 |
+
},
|
| 2307 |
+
{
|
| 2308 |
+
"epoch": 5.527831094049904,
|
| 2309 |
+
"grad_norm": 0.3426896035671234,
|
| 2310 |
+
"learning_rate": 1.613487782393661e-05,
|
| 2311 |
+
"loss": 0.0055,
|
| 2312 |
+
"num_input_tokens_seen": 273006464,
|
| 2313 |
+
"step": 1440
|
| 2314 |
+
},
|
| 2315 |
+
{
|
| 2316 |
+
"epoch": 5.547024952015355,
|
| 2317 |
+
"grad_norm": 0.333395779132843,
|
| 2318 |
+
"learning_rate": 1.59781642022022e-05,
|
| 2319 |
+
"loss": 0.0052,
|
| 2320 |
+
"num_input_tokens_seen": 273947520,
|
| 2321 |
+
"step": 1445
|
| 2322 |
+
},
|
| 2323 |
+
{
|
| 2324 |
+
"epoch": 5.566218809980806,
|
| 2325 |
+
"grad_norm": 0.37326982617378235,
|
| 2326 |
+
"learning_rate": 1.582185711863681e-05,
|
| 2327 |
+
"loss": 0.0058,
|
| 2328 |
+
"num_input_tokens_seen": 274880640,
|
| 2329 |
+
"step": 1450
|
| 2330 |
+
},
|
| 2331 |
+
{
|
| 2332 |
+
"epoch": 5.585412667946257,
|
| 2333 |
+
"grad_norm": 0.47231632471084595,
|
| 2334 |
+
"learning_rate": 1.5665963616684476e-05,
|
| 2335 |
+
"loss": 0.006,
|
| 2336 |
+
"num_input_tokens_seen": 275832576,
|
| 2337 |
+
"step": 1455
|
| 2338 |
+
},
|
| 2339 |
+
{
|
| 2340 |
+
"epoch": 5.604606525911708,
|
| 2341 |
+
"grad_norm": 0.4276968240737915,
|
| 2342 |
+
"learning_rate": 1.5510490721152592e-05,
|
| 2343 |
+
"loss": 0.0059,
|
| 2344 |
+
"num_input_tokens_seen": 276766720,
|
| 2345 |
+
"step": 1460
|
| 2346 |
+
},
|
| 2347 |
+
{
|
| 2348 |
+
"epoch": 5.6238003838771595,
|
| 2349 |
+
"grad_norm": 0.3536054491996765,
|
| 2350 |
+
"learning_rate": 1.535544543789537e-05,
|
| 2351 |
+
"loss": 0.0057,
|
| 2352 |
+
"num_input_tokens_seen": 277722752,
|
| 2353 |
+
"step": 1465
|
| 2354 |
+
},
|
| 2355 |
+
{
|
| 2356 |
+
"epoch": 5.642994241842611,
|
| 2357 |
+
"grad_norm": 0.3875754475593567,
|
| 2358 |
+
"learning_rate": 1.5200834753498128e-05,
|
| 2359 |
+
"loss": 0.0055,
|
| 2360 |
+
"num_input_tokens_seen": 278668544,
|
| 2361 |
+
"step": 1470
|
| 2362 |
+
},
|
| 2363 |
+
{
|
| 2364 |
+
"epoch": 5.662188099808061,
|
| 2365 |
+
"grad_norm": 0.39483705163002014,
|
| 2366 |
+
"learning_rate": 1.5046665634962476e-05,
|
| 2367 |
+
"loss": 0.006,
|
| 2368 |
+
"num_input_tokens_seen": 279602944,
|
| 2369 |
+
"step": 1475
|
| 2370 |
+
},
|
| 2371 |
+
{
|
| 2372 |
+
"epoch": 5.681381957773512,
|
| 2373 |
+
"grad_norm": 0.3274906873703003,
|
| 2374 |
+
"learning_rate": 1.489294502939238e-05,
|
| 2375 |
+
"loss": 0.0058,
|
| 2376 |
+
"num_input_tokens_seen": 280545408,
|
| 2377 |
+
"step": 1480
|
| 2378 |
+
},
|
| 2379 |
+
{
|
| 2380 |
+
"epoch": 5.700575815738963,
|
| 2381 |
+
"grad_norm": 0.41820597648620605,
|
| 2382 |
+
"learning_rate": 1.4739679863681086e-05,
|
| 2383 |
+
"loss": 0.0052,
|
| 2384 |
+
"num_input_tokens_seen": 281486208,
|
| 2385 |
+
"step": 1485
|
| 2386 |
+
},
|
| 2387 |
+
{
|
| 2388 |
+
"epoch": 5.719769673704414,
|
| 2389 |
+
"grad_norm": 0.3023267984390259,
|
| 2390 |
+
"learning_rate": 1.4586877044199016e-05,
|
| 2391 |
+
"loss": 0.0056,
|
| 2392 |
+
"num_input_tokens_seen": 282428032,
|
| 2393 |
+
"step": 1490
|
| 2394 |
+
},
|
| 2395 |
+
{
|
| 2396 |
+
"epoch": 5.7389635316698655,
|
| 2397 |
+
"grad_norm": 0.40845391154289246,
|
| 2398 |
+
"learning_rate": 1.443454345648252e-05,
|
| 2399 |
+
"loss": 0.0061,
|
| 2400 |
+
"num_input_tokens_seen": 283387264,
|
| 2401 |
+
"step": 1495
|
| 2402 |
+
},
|
| 2403 |
+
{
|
| 2404 |
+
"epoch": 5.758157389635317,
|
| 2405 |
+
"grad_norm": 0.2751927971839905,
|
| 2406 |
+
"learning_rate": 1.4282685964923642e-05,
|
| 2407 |
+
"loss": 0.0058,
|
| 2408 |
+
"num_input_tokens_seen": 284347008,
|
| 2409 |
+
"step": 1500
|
| 2410 |
+
},
|
| 2411 |
+
{
|
| 2412 |
+
"epoch": 5.777351247600768,
|
| 2413 |
+
"grad_norm": 0.39462777972221375,
|
| 2414 |
+
"learning_rate": 1.4131311412460796e-05,
|
| 2415 |
+
"loss": 0.0061,
|
| 2416 |
+
"num_input_tokens_seen": 285271424,
|
| 2417 |
+
"step": 1505
|
| 2418 |
+
},
|
| 2419 |
+
{
|
| 2420 |
+
"epoch": 5.796545105566219,
|
| 2421 |
+
"grad_norm": 0.3681143522262573,
|
| 2422 |
+
"learning_rate": 1.398042662027035e-05,
|
| 2423 |
+
"loss": 0.0055,
|
| 2424 |
+
"num_input_tokens_seen": 286222208,
|
| 2425 |
+
"step": 1510
|
| 2426 |
+
},
|
| 2427 |
+
{
|
| 2428 |
+
"epoch": 5.81573896353167,
|
| 2429 |
+
"grad_norm": 0.3678882122039795,
|
| 2430 |
+
"learning_rate": 1.3830038387459354e-05,
|
| 2431 |
+
"loss": 0.0056,
|
| 2432 |
+
"num_input_tokens_seen": 287186304,
|
| 2433 |
+
"step": 1515
|
| 2434 |
+
},
|
| 2435 |
+
{
|
| 2436 |
+
"epoch": 5.834932821497121,
|
| 2437 |
+
"grad_norm": 0.3934548795223236,
|
| 2438 |
+
"learning_rate": 1.3680153490759073e-05,
|
| 2439 |
+
"loss": 0.0055,
|
| 2440 |
+
"num_input_tokens_seen": 288142848,
|
| 2441 |
+
"step": 1520
|
| 2442 |
+
},
|
| 2443 |
+
{
|
| 2444 |
+
"epoch": 5.854126679462572,
|
| 2445 |
+
"grad_norm": 0.3608354926109314,
|
| 2446 |
+
"learning_rate": 1.3530778684219648e-05,
|
| 2447 |
+
"loss": 0.0055,
|
| 2448 |
+
"num_input_tokens_seen": 289076608,
|
| 2449 |
+
"step": 1525
|
| 2450 |
+
},
|
| 2451 |
+
{
|
| 2452 |
+
"epoch": 5.8733205374280235,
|
| 2453 |
+
"grad_norm": 0.3579324781894684,
|
| 2454 |
+
"learning_rate": 1.3381920698905787e-05,
|
| 2455 |
+
"loss": 0.006,
|
| 2456 |
+
"num_input_tokens_seen": 290014848,
|
| 2457 |
+
"step": 1530
|
| 2458 |
+
},
|
| 2459 |
+
{
|
| 2460 |
+
"epoch": 5.892514395393474,
|
| 2461 |
+
"grad_norm": 0.45630770921707153,
|
| 2462 |
+
"learning_rate": 1.3233586242593387e-05,
|
| 2463 |
+
"loss": 0.0056,
|
| 2464 |
+
"num_input_tokens_seen": 290956928,
|
| 2465 |
+
"step": 1535
|
| 2466 |
+
},
|
| 2467 |
+
{
|
| 2468 |
+
"epoch": 5.911708253358925,
|
| 2469 |
+
"grad_norm": 0.48819243907928467,
|
| 2470 |
+
"learning_rate": 1.3085781999467303e-05,
|
| 2471 |
+
"loss": 0.0059,
|
| 2472 |
+
"num_input_tokens_seen": 291889408,
|
| 2473 |
+
"step": 1540
|
| 2474 |
+
},
|
| 2475 |
+
{
|
| 2476 |
+
"epoch": 5.930902111324376,
|
| 2477 |
+
"grad_norm": 0.39040514826774597,
|
| 2478 |
+
"learning_rate": 1.293851462982017e-05,
|
| 2479 |
+
"loss": 0.0056,
|
| 2480 |
+
"num_input_tokens_seen": 292832768,
|
| 2481 |
+
"step": 1545
|
| 2482 |
+
},
|
| 2483 |
+
{
|
| 2484 |
+
"epoch": 5.950095969289827,
|
| 2485 |
+
"grad_norm": 0.33169373869895935,
|
| 2486 |
+
"learning_rate": 1.2791790769752232e-05,
|
| 2487 |
+
"loss": 0.0054,
|
| 2488 |
+
"num_input_tokens_seen": 293767040,
|
| 2489 |
+
"step": 1550
|
| 2490 |
+
},
|
| 2491 |
+
{
|
| 2492 |
+
"epoch": 5.969289827255278,
|
| 2493 |
+
"grad_norm": 0.3252679705619812,
|
| 2494 |
+
"learning_rate": 1.2645617030872328e-05,
|
| 2495 |
+
"loss": 0.0049,
|
| 2496 |
+
"num_input_tokens_seen": 294750208,
|
| 2497 |
+
"step": 1555
|
| 2498 |
+
},
|
| 2499 |
+
{
|
| 2500 |
+
"epoch": 5.9884836852207295,
|
| 2501 |
+
"grad_norm": 0.35827863216400146,
|
| 2502 |
+
"learning_rate": 1.2500000000000006e-05,
|
| 2503 |
+
"loss": 0.0051,
|
| 2504 |
+
"num_input_tokens_seen": 295721088,
|
| 2505 |
+
"step": 1560
|
| 2506 |
+
},
|
| 2507 |
+
{
|
| 2508 |
+
"epoch": 6.007677543186181,
|
| 2509 |
+
"grad_norm": 0.2643219530582428,
|
| 2510 |
+
"learning_rate": 1.2354946238868631e-05,
|
| 2511 |
+
"loss": 0.0037,
|
| 2512 |
+
"num_input_tokens_seen": 296669184,
|
| 2513 |
+
"step": 1565
|
| 2514 |
+
},
|
| 2515 |
+
{
|
| 2516 |
+
"epoch": 6.026871401151632,
|
| 2517 |
+
"grad_norm": 0.16359519958496094,
|
| 2518 |
+
"learning_rate": 1.2210462283829755e-05,
|
| 2519 |
+
"loss": 0.0021,
|
| 2520 |
+
"num_input_tokens_seen": 297624448,
|
| 2521 |
+
"step": 1570
|
| 2522 |
+
},
|
| 2523 |
+
{
|
| 2524 |
+
"epoch": 6.046065259117083,
|
| 2525 |
+
"grad_norm": 0.17375914752483368,
|
| 2526 |
+
"learning_rate": 1.2066554645558578e-05,
|
| 2527 |
+
"loss": 0.0019,
|
| 2528 |
+
"num_input_tokens_seen": 298558080,
|
| 2529 |
+
"step": 1575
|
| 2530 |
+
},
|
| 2531 |
+
{
|
| 2532 |
+
"epoch": 6.065259117082533,
|
| 2533 |
+
"grad_norm": 0.16882829368114471,
|
| 2534 |
+
"learning_rate": 1.1923229808760564e-05,
|
| 2535 |
+
"loss": 0.002,
|
| 2536 |
+
"num_input_tokens_seen": 299492352,
|
| 2537 |
+
"step": 1580
|
| 2538 |
+
},
|
| 2539 |
+
{
|
| 2540 |
+
"epoch": 6.084452975047984,
|
| 2541 |
+
"grad_norm": 0.15032212436199188,
|
| 2542 |
+
"learning_rate": 1.1780494231879183e-05,
|
| 2543 |
+
"loss": 0.0017,
|
| 2544 |
+
"num_input_tokens_seen": 300446976,
|
| 2545 |
+
"step": 1585
|
| 2546 |
+
},
|
| 2547 |
+
{
|
| 2548 |
+
"epoch": 6.1036468330134355,
|
| 2549 |
+
"grad_norm": 0.1795198768377304,
|
| 2550 |
+
"learning_rate": 1.1638354346804971e-05,
|
| 2551 |
+
"loss": 0.0016,
|
| 2552 |
+
"num_input_tokens_seen": 301379328,
|
| 2553 |
+
"step": 1590
|
| 2554 |
+
},
|
| 2555 |
+
{
|
| 2556 |
+
"epoch": 6.122840690978887,
|
| 2557 |
+
"grad_norm": 0.19939038157463074,
|
| 2558 |
+
"learning_rate": 1.1496816558585622e-05,
|
| 2559 |
+
"loss": 0.0017,
|
| 2560 |
+
"num_input_tokens_seen": 302306944,
|
| 2561 |
+
"step": 1595
|
| 2562 |
+
},
|
| 2563 |
+
{
|
| 2564 |
+
"epoch": 6.142034548944338,
|
| 2565 |
+
"grad_norm": 0.13161912560462952,
|
| 2566 |
+
"learning_rate": 1.1355887245137383e-05,
|
| 2567 |
+
"loss": 0.0014,
|
| 2568 |
+
"num_input_tokens_seen": 303246848,
|
| 2569 |
+
"step": 1600
|
| 2570 |
+
},
|
| 2571 |
+
{
|
| 2572 |
+
"epoch": 6.161228406909789,
|
| 2573 |
+
"grad_norm": 0.12050630152225494,
|
| 2574 |
+
"learning_rate": 1.121557275695771e-05,
|
| 2575 |
+
"loss": 0.0018,
|
| 2576 |
+
"num_input_tokens_seen": 304181248,
|
| 2577 |
+
"step": 1605
|
| 2578 |
+
},
|
| 2579 |
+
{
|
| 2580 |
+
"epoch": 6.18042226487524,
|
| 2581 |
+
"grad_norm": 0.1479523628950119,
|
| 2582 |
+
"learning_rate": 1.1075879416839023e-05,
|
| 2583 |
+
"loss": 0.002,
|
| 2584 |
+
"num_input_tokens_seen": 305139200,
|
| 2585 |
+
"step": 1610
|
| 2586 |
+
},
|
| 2587 |
+
{
|
| 2588 |
+
"epoch": 6.199616122840691,
|
| 2589 |
+
"grad_norm": 0.2239997535943985,
|
| 2590 |
+
"learning_rate": 1.093681351958383e-05,
|
| 2591 |
+
"loss": 0.0017,
|
| 2592 |
+
"num_input_tokens_seen": 306099328,
|
| 2593 |
+
"step": 1615
|
| 2594 |
+
},
|
| 2595 |
+
{
|
| 2596 |
+
"epoch": 6.218809980806142,
|
| 2597 |
+
"grad_norm": 0.1326994150876999,
|
| 2598 |
+
"learning_rate": 1.0798381331721109e-05,
|
| 2599 |
+
"loss": 0.0016,
|
| 2600 |
+
"num_input_tokens_seen": 307053568,
|
| 2601 |
+
"step": 1620
|
| 2602 |
+
},
|
| 2603 |
+
{
|
| 2604 |
+
"epoch": 6.2380038387715935,
|
| 2605 |
+
"grad_norm": 0.16336026787757874,
|
| 2606 |
+
"learning_rate": 1.0660589091223855e-05,
|
| 2607 |
+
"loss": 0.0016,
|
| 2608 |
+
"num_input_tokens_seen": 308003200,
|
| 2609 |
+
"step": 1625
|
| 2610 |
+
},
|
| 2611 |
+
{
|
| 2612 |
+
"epoch": 6.257197696737044,
|
| 2613 |
+
"grad_norm": 0.19519683718681335,
|
| 2614 |
+
"learning_rate": 1.052344300722803e-05,
|
| 2615 |
+
"loss": 0.0016,
|
| 2616 |
+
"num_input_tokens_seen": 308958720,
|
| 2617 |
+
"step": 1630
|
| 2618 |
+
},
|
| 2619 |
+
{
|
| 2620 |
+
"epoch": 6.276391554702495,
|
| 2621 |
+
"grad_norm": 0.19589100778102875,
|
| 2622 |
+
"learning_rate": 1.0386949259752785e-05,
|
| 2623 |
+
"loss": 0.0017,
|
| 2624 |
+
"num_input_tokens_seen": 309904384,
|
| 2625 |
+
"step": 1635
|
| 2626 |
+
},
|
| 2627 |
+
{
|
| 2628 |
+
"epoch": 6.295585412667946,
|
| 2629 |
+
"grad_norm": 0.1591753512620926,
|
| 2630 |
+
"learning_rate": 1.0251113999421935e-05,
|
| 2631 |
+
"loss": 0.0017,
|
| 2632 |
+
"num_input_tokens_seen": 310861568,
|
| 2633 |
+
"step": 1640
|
| 2634 |
+
},
|
| 2635 |
+
{
|
| 2636 |
+
"epoch": 6.314779270633397,
|
| 2637 |
+
"grad_norm": 0.1489296555519104,
|
| 2638 |
+
"learning_rate": 1.0115943347186826e-05,
|
| 2639 |
+
"loss": 0.0015,
|
| 2640 |
+
"num_input_tokens_seen": 311800064,
|
| 2641 |
+
"step": 1645
|
| 2642 |
+
},
|
| 2643 |
+
{
|
| 2644 |
+
"epoch": 6.333973128598848,
|
| 2645 |
+
"grad_norm": 0.1340964287519455,
|
| 2646 |
+
"learning_rate": 9.981443394050525e-06,
|
| 2647 |
+
"loss": 0.0014,
|
| 2648 |
+
"num_input_tokens_seen": 312742656,
|
| 2649 |
+
"step": 1650
|
| 2650 |
+
},
|
| 2651 |
+
{
|
| 2652 |
+
"epoch": 6.3531669865642995,
|
| 2653 |
+
"grad_norm": 0.4749620258808136,
|
| 2654 |
+
"learning_rate": 9.847620200793343e-06,
|
| 2655 |
+
"loss": 0.0016,
|
| 2656 |
+
"num_input_tokens_seen": 313683840,
|
| 2657 |
+
"step": 1655
|
| 2658 |
+
},
|
| 2659 |
+
{
|
| 2660 |
+
"epoch": 6.372360844529751,
|
| 2661 |
+
"grad_norm": 0.27900460362434387,
|
| 2662 |
+
"learning_rate": 9.714479797699694e-06,
|
| 2663 |
+
"loss": 0.0015,
|
| 2664 |
+
"num_input_tokens_seen": 314630400,
|
| 2665 |
+
"step": 1660
|
| 2666 |
+
},
|
| 2667 |
+
{
|
| 2668 |
+
"epoch": 6.391554702495202,
|
| 2669 |
+
"grad_norm": 0.15642359852790833,
|
| 2670 |
+
"learning_rate": 9.582028184286423e-06,
|
| 2671 |
+
"loss": 0.0016,
|
| 2672 |
+
"num_input_tokens_seen": 315612544,
|
| 2673 |
+
"step": 1665
|
| 2674 |
+
},
|
| 2675 |
+
{
|
| 2676 |
+
"epoch": 6.410748560460653,
|
| 2677 |
+
"grad_norm": 0.2352278232574463,
|
| 2678 |
+
"learning_rate": 9.450271329032404e-06,
|
| 2679 |
+
"loss": 0.0016,
|
| 2680 |
+
"num_input_tokens_seen": 316564224,
|
| 2681 |
+
"step": 1670
|
| 2682 |
+
},
|
| 2683 |
+
{
|
| 2684 |
+
"epoch": 6.429942418426104,
|
| 2685 |
+
"grad_norm": 0.2565127909183502,
|
| 2686 |
+
"learning_rate": 9.3192151691096e-06,
|
| 2687 |
+
"loss": 0.0018,
|
| 2688 |
+
"num_input_tokens_seen": 317537024,
|
| 2689 |
+
"step": 1675
|
| 2690 |
+
},
|
| 2691 |
+
{
|
| 2692 |
+
"epoch": 6.449136276391554,
|
| 2693 |
+
"grad_norm": 0.23012320697307587,
|
| 2694 |
+
"learning_rate": 9.18886561011557e-06,
|
| 2695 |
+
"loss": 0.0016,
|
| 2696 |
+
"num_input_tokens_seen": 318482944,
|
| 2697 |
+
"step": 1680
|
| 2698 |
+
},
|
| 2699 |
+
{
|
| 2700 |
+
"epoch": 6.468330134357005,
|
| 2701 |
+
"grad_norm": 0.15872737765312195,
|
| 2702 |
+
"learning_rate": 9.059228525807296e-06,
|
| 2703 |
+
"loss": 0.0015,
|
| 2704 |
+
"num_input_tokens_seen": 319438848,
|
| 2705 |
+
"step": 1685
|
| 2706 |
+
},
|
| 2707 |
+
{
|
| 2708 |
+
"epoch": 6.487523992322457,
|
| 2709 |
+
"grad_norm": 0.1375139206647873,
|
| 2710 |
+
"learning_rate": 8.930309757836517e-06,
|
| 2711 |
+
"loss": 0.0016,
|
| 2712 |
+
"num_input_tokens_seen": 320388736,
|
| 2713 |
+
"step": 1690
|
| 2714 |
+
},
|
| 2715 |
+
{
|
| 2716 |
+
"epoch": 6.506717850287908,
|
| 2717 |
+
"grad_norm": 0.12399590760469437,
|
| 2718 |
+
"learning_rate": 8.802115115486535e-06,
|
| 2719 |
+
"loss": 0.0013,
|
| 2720 |
+
"num_input_tokens_seen": 321354880,
|
| 2721 |
+
"step": 1695
|
| 2722 |
+
},
|
| 2723 |
+
{
|
| 2724 |
+
"epoch": 6.525911708253359,
|
| 2725 |
+
"grad_norm": 0.23495157063007355,
|
| 2726 |
+
"learning_rate": 8.67465037541038e-06,
|
| 2727 |
+
"loss": 0.0016,
|
| 2728 |
+
"num_input_tokens_seen": 322301952,
|
| 2729 |
+
"step": 1700
|
| 2730 |
+
},
|
| 2731 |
+
{
|
| 2732 |
+
"epoch": 6.54510556621881,
|
| 2733 |
+
"grad_norm": 0.15574663877487183,
|
| 2734 |
+
"learning_rate": 8.54792128137053e-06,
|
| 2735 |
+
"loss": 0.0014,
|
| 2736 |
+
"num_input_tokens_seen": 323246208,
|
| 2737 |
+
"step": 1705
|
| 2738 |
+
},
|
| 2739 |
+
{
|
| 2740 |
+
"epoch": 6.564299424184261,
|
| 2741 |
+
"grad_norm": 0.1617659628391266,
|
| 2742 |
+
"learning_rate": 8.421933543980126e-06,
|
| 2743 |
+
"loss": 0.0015,
|
| 2744 |
+
"num_input_tokens_seen": 324191616,
|
| 2745 |
+
"step": 1710
|
| 2746 |
+
},
|
| 2747 |
+
{
|
| 2748 |
+
"epoch": 6.583493282149712,
|
| 2749 |
+
"grad_norm": 0.14752747118473053,
|
| 2750 |
+
"learning_rate": 8.29669284044557e-06,
|
| 2751 |
+
"loss": 0.0017,
|
| 2752 |
+
"num_input_tokens_seen": 325125888,
|
| 2753 |
+
"step": 1715
|
| 2754 |
+
},
|
| 2755 |
+
{
|
| 2756 |
+
"epoch": 6.6026871401151634,
|
| 2757 |
+
"grad_norm": 0.2986501455307007,
|
| 2758 |
+
"learning_rate": 8.172204814310742e-06,
|
| 2759 |
+
"loss": 0.0015,
|
| 2760 |
+
"num_input_tokens_seen": 326070784,
|
| 2761 |
+
"step": 1720
|
| 2762 |
+
},
|
| 2763 |
+
{
|
| 2764 |
+
"epoch": 6.621880998080615,
|
| 2765 |
+
"grad_norm": 0.23812003433704376,
|
| 2766 |
+
"learning_rate": 8.048475075202727e-06,
|
| 2767 |
+
"loss": 0.0017,
|
| 2768 |
+
"num_input_tokens_seen": 326995712,
|
| 2769 |
+
"step": 1725
|
| 2770 |
+
},
|
| 2771 |
+
{
|
| 2772 |
+
"epoch": 6.641074856046066,
|
| 2773 |
+
"grad_norm": 0.13329505920410156,
|
| 2774 |
+
"learning_rate": 7.92550919857896e-06,
|
| 2775 |
+
"loss": 0.0019,
|
| 2776 |
+
"num_input_tokens_seen": 327954816,
|
| 2777 |
+
"step": 1730
|
| 2778 |
+
},
|
| 2779 |
+
{
|
| 2780 |
+
"epoch": 6.660268714011516,
|
| 2781 |
+
"grad_norm": 0.10942558199167252,
|
| 2782 |
+
"learning_rate": 7.803312725476031e-06,
|
| 2783 |
+
"loss": 0.0016,
|
| 2784 |
+
"num_input_tokens_seen": 328909184,
|
| 2785 |
+
"step": 1735
|
| 2786 |
+
},
|
| 2787 |
+
{
|
| 2788 |
+
"epoch": 6.679462571976967,
|
| 2789 |
+
"grad_norm": 0.10470914840698242,
|
| 2790 |
+
"learning_rate": 7.681891162260015e-06,
|
| 2791 |
+
"loss": 0.0015,
|
| 2792 |
+
"num_input_tokens_seen": 329862144,
|
| 2793 |
+
"step": 1740
|
| 2794 |
+
},
|
| 2795 |
+
{
|
| 2796 |
+
"epoch": 6.698656429942418,
|
| 2797 |
+
"grad_norm": 0.2065214365720749,
|
| 2798 |
+
"learning_rate": 7.561249980378301e-06,
|
| 2799 |
+
"loss": 0.0018,
|
| 2800 |
+
"num_input_tokens_seen": 330812544,
|
| 2801 |
+
"step": 1745
|
| 2802 |
+
},
|
| 2803 |
+
{
|
| 2804 |
+
"epoch": 6.717850287907869,
|
| 2805 |
+
"grad_norm": 0.2046762853860855,
|
| 2806 |
+
"learning_rate": 7.441394616113062e-06,
|
| 2807 |
+
"loss": 0.0016,
|
| 2808 |
+
"num_input_tokens_seen": 331769216,
|
| 2809 |
+
"step": 1750
|
| 2810 |
+
},
|
| 2811 |
+
{
|
| 2812 |
+
"epoch": 6.737044145873321,
|
| 2813 |
+
"grad_norm": 0.17153848707675934,
|
| 2814 |
+
"learning_rate": 7.3223304703363135e-06,
|
| 2815 |
+
"loss": 0.0015,
|
| 2816 |
+
"num_input_tokens_seen": 332703744,
|
| 2817 |
+
"step": 1755
|
| 2818 |
+
},
|
| 2819 |
+
{
|
| 2820 |
+
"epoch": 6.756238003838772,
|
| 2821 |
+
"grad_norm": 0.11358804255723953,
|
| 2822 |
+
"learning_rate": 7.20406290826649e-06,
|
| 2823 |
+
"loss": 0.0015,
|
| 2824 |
+
"num_input_tokens_seen": 333635712,
|
| 2825 |
+
"step": 1760
|
| 2826 |
+
},
|
| 2827 |
+
{
|
| 2828 |
+
"epoch": 6.775431861804223,
|
| 2829 |
+
"grad_norm": 0.21972091495990753,
|
| 2830 |
+
"learning_rate": 7.086597259226707e-06,
|
| 2831 |
+
"loss": 0.0016,
|
| 2832 |
+
"num_input_tokens_seen": 334579968,
|
| 2833 |
+
"step": 1765
|
| 2834 |
+
},
|
| 2835 |
+
{
|
| 2836 |
+
"epoch": 6.794625719769674,
|
| 2837 |
+
"grad_norm": 0.16843383014202118,
|
| 2838 |
+
"learning_rate": 6.969938816404639e-06,
|
| 2839 |
+
"loss": 0.0017,
|
| 2840 |
+
"num_input_tokens_seen": 335506304,
|
| 2841 |
+
"step": 1770
|
| 2842 |
+
},
|
| 2843 |
+
{
|
| 2844 |
+
"epoch": 6.813819577735125,
|
| 2845 |
+
"grad_norm": 0.155124694108963,
|
| 2846 |
+
"learning_rate": 6.854092836613948e-06,
|
| 2847 |
+
"loss": 0.0019,
|
| 2848 |
+
"num_input_tokens_seen": 336457856,
|
| 2849 |
+
"step": 1775
|
| 2850 |
+
},
|
| 2851 |
+
{
|
| 2852 |
+
"epoch": 6.833013435700575,
|
| 2853 |
+
"grad_norm": 0.11480195820331573,
|
| 2854 |
+
"learning_rate": 6.739064540057424e-06,
|
| 2855 |
+
"loss": 0.0015,
|
| 2856 |
+
"num_input_tokens_seen": 337391616,
|
| 2857 |
+
"step": 1780
|
| 2858 |
+
},
|
| 2859 |
+
{
|
| 2860 |
+
"epoch": 6.8522072936660265,
|
| 2861 |
+
"grad_norm": 0.13995982706546783,
|
| 2862 |
+
"learning_rate": 6.624859110091791e-06,
|
| 2863 |
+
"loss": 0.0019,
|
| 2864 |
+
"num_input_tokens_seen": 338349568,
|
| 2865 |
+
"step": 1785
|
| 2866 |
+
},
|
| 2867 |
+
{
|
| 2868 |
+
"epoch": 6.871401151631478,
|
| 2869 |
+
"grad_norm": 0.2626807689666748,
|
| 2870 |
+
"learning_rate": 6.511481692994076e-06,
|
| 2871 |
+
"loss": 0.0017,
|
| 2872 |
+
"num_input_tokens_seen": 339293440,
|
| 2873 |
+
"step": 1790
|
| 2874 |
+
},
|
| 2875 |
+
{
|
| 2876 |
+
"epoch": 6.890595009596929,
|
| 2877 |
+
"grad_norm": 0.21995946764945984,
|
| 2878 |
+
"learning_rate": 6.3989373977297315e-06,
|
| 2879 |
+
"loss": 0.0012,
|
| 2880 |
+
"num_input_tokens_seen": 340271360,
|
| 2881 |
+
"step": 1795
|
| 2882 |
+
},
|
| 2883 |
+
{
|
| 2884 |
+
"epoch": 6.90978886756238,
|
| 2885 |
+
"grad_norm": 0.11761938780546188,
|
| 2886 |
+
"learning_rate": 6.28723129572247e-06,
|
| 2887 |
+
"loss": 0.0014,
|
| 2888 |
+
"num_input_tokens_seen": 341216384,
|
| 2889 |
+
"step": 1800
|
| 2890 |
+
},
|
| 2891 |
+
{
|
| 2892 |
+
"epoch": 6.928982725527831,
|
| 2893 |
+
"grad_norm": 0.14595161378383636,
|
| 2894 |
+
"learning_rate": 6.1763684206256525e-06,
|
| 2895 |
+
"loss": 0.0014,
|
| 2896 |
+
"num_input_tokens_seen": 342183808,
|
| 2897 |
+
"step": 1805
|
| 2898 |
+
},
|
| 2899 |
+
{
|
| 2900 |
+
"epoch": 6.948176583493282,
|
| 2901 |
+
"grad_norm": 0.1292518526315689,
|
| 2902 |
+
"learning_rate": 6.066353768095504e-06,
|
| 2903 |
+
"loss": 0.0014,
|
| 2904 |
+
"num_input_tokens_seen": 343123712,
|
| 2905 |
+
"step": 1810
|
| 2906 |
+
},
|
| 2907 |
+
{
|
| 2908 |
+
"epoch": 6.967370441458733,
|
| 2909 |
+
"grad_norm": 0.19953125715255737,
|
| 2910 |
+
"learning_rate": 5.957192295566022e-06,
|
| 2911 |
+
"loss": 0.0014,
|
| 2912 |
+
"num_input_tokens_seen": 344062976,
|
| 2913 |
+
"step": 1815
|
| 2914 |
+
},
|
| 2915 |
+
{
|
| 2916 |
+
"epoch": 6.9865642994241846,
|
| 2917 |
+
"grad_norm": 0.17268332839012146,
|
| 2918 |
+
"learning_rate": 5.848888922025553e-06,
|
| 2919 |
+
"loss": 0.0015,
|
| 2920 |
+
"num_input_tokens_seen": 345019904,
|
| 2921 |
+
"step": 1820
|
| 2922 |
+
},
|
| 2923 |
+
{
|
| 2924 |
+
"epoch": 7.005758157389636,
|
| 2925 |
+
"grad_norm": 0.0566362664103508,
|
| 2926 |
+
"learning_rate": 5.741448527795137e-06,
|
| 2927 |
+
"loss": 0.0011,
|
| 2928 |
+
"num_input_tokens_seen": 345976320,
|
| 2929 |
+
"step": 1825
|
| 2930 |
+
},
|
| 2931 |
+
{
|
| 2932 |
+
"epoch": 7.024952015355086,
|
| 2933 |
+
"grad_norm": 0.07774636894464493,
|
| 2934 |
+
"learning_rate": 5.634875954308638e-06,
|
| 2935 |
+
"loss": 0.0007,
|
| 2936 |
+
"num_input_tokens_seen": 346933120,
|
| 2937 |
+
"step": 1830
|
| 2938 |
+
},
|
| 2939 |
+
{
|
| 2940 |
+
"epoch": 7.044145873320537,
|
| 2941 |
+
"grad_norm": 0.09574442356824875,
|
| 2942 |
+
"learning_rate": 5.52917600389451e-06,
|
| 2943 |
+
"loss": 0.0008,
|
| 2944 |
+
"num_input_tokens_seen": 347883392,
|
| 2945 |
+
"step": 1835
|
| 2946 |
+
},
|
| 2947 |
+
{
|
| 2948 |
+
"epoch": 7.063339731285988,
|
| 2949 |
+
"grad_norm": 0.04345453530550003,
|
| 2950 |
+
"learning_rate": 5.424353439559446e-06,
|
| 2951 |
+
"loss": 0.0007,
|
| 2952 |
+
"num_input_tokens_seen": 348815616,
|
| 2953 |
+
"step": 1840
|
| 2954 |
+
},
|
| 2955 |
+
{
|
| 2956 |
+
"epoch": 7.082533589251439,
|
| 2957 |
+
"grad_norm": 0.08021701127290726,
|
| 2958 |
+
"learning_rate": 5.320412984773748e-06,
|
| 2959 |
+
"loss": 0.0007,
|
| 2960 |
+
"num_input_tokens_seen": 349761152,
|
| 2961 |
+
"step": 1845
|
| 2962 |
+
},
|
| 2963 |
+
{
|
| 2964 |
+
"epoch": 7.1017274472168905,
|
| 2965 |
+
"grad_norm": 0.04693225026130676,
|
| 2966 |
+
"learning_rate": 5.217359323258459e-06,
|
| 2967 |
+
"loss": 0.0007,
|
| 2968 |
+
"num_input_tokens_seen": 350714880,
|
| 2969 |
+
"step": 1850
|
| 2970 |
+
},
|
| 2971 |
+
{
|
| 2972 |
+
"epoch": 7.120921305182342,
|
| 2973 |
+
"grad_norm": 0.041134320199489594,
|
| 2974 |
+
"learning_rate": 5.115197098774302e-06,
|
| 2975 |
+
"loss": 0.0007,
|
| 2976 |
+
"num_input_tokens_seen": 351676544,
|
| 2977 |
+
"step": 1855
|
| 2978 |
+
},
|
| 2979 |
+
{
|
| 2980 |
+
"epoch": 7.140115163147793,
|
| 2981 |
+
"grad_norm": 0.06960324198007584,
|
| 2982 |
+
"learning_rate": 5.013930914912476e-06,
|
| 2983 |
+
"loss": 0.0007,
|
| 2984 |
+
"num_input_tokens_seen": 352604672,
|
| 2985 |
+
"step": 1860
|
| 2986 |
+
},
|
| 2987 |
+
{
|
| 2988 |
+
"epoch": 7.159309021113244,
|
| 2989 |
+
"grad_norm": 0.057376183569431305,
|
| 2990 |
+
"learning_rate": 4.913565334887135e-06,
|
| 2991 |
+
"loss": 0.0007,
|
| 2992 |
+
"num_input_tokens_seen": 353552640,
|
| 2993 |
+
"step": 1865
|
| 2994 |
+
},
|
| 2995 |
+
{
|
| 2996 |
+
"epoch": 7.178502879078695,
|
| 2997 |
+
"grad_norm": 0.04041101410984993,
|
| 2998 |
+
"learning_rate": 4.814104881329828e-06,
|
| 2999 |
+
"loss": 0.0006,
|
| 3000 |
+
"num_input_tokens_seen": 354511360,
|
| 3001 |
+
"step": 1870
|
| 3002 |
+
},
|
| 3003 |
+
{
|
| 3004 |
+
"epoch": 7.197696737044146,
|
| 3005 |
+
"grad_norm": 0.052469249814748764,
|
| 3006 |
+
"learning_rate": 4.715554036085673e-06,
|
| 3007 |
+
"loss": 0.0007,
|
| 3008 |
+
"num_input_tokens_seen": 355478144,
|
| 3009 |
+
"step": 1875
|
| 3010 |
+
},
|
| 3011 |
+
{
|
| 3012 |
+
"epoch": 7.2168905950095965,
|
| 3013 |
+
"grad_norm": 0.11581304669380188,
|
| 3014 |
+
"learning_rate": 4.617917240011394e-06,
|
| 3015 |
+
"loss": 0.0006,
|
| 3016 |
+
"num_input_tokens_seen": 356424448,
|
| 3017 |
+
"step": 1880
|
| 3018 |
+
},
|
| 3019 |
+
{
|
| 3020 |
+
"epoch": 7.236084452975048,
|
| 3021 |
+
"grad_norm": 0.04358832538127899,
|
| 3022 |
+
"learning_rate": 4.521198892775203e-06,
|
| 3023 |
+
"loss": 0.0006,
|
| 3024 |
+
"num_input_tokens_seen": 357374208,
|
| 3025 |
+
"step": 1885
|
| 3026 |
+
},
|
| 3027 |
+
{
|
| 3028 |
+
"epoch": 7.255278310940499,
|
| 3029 |
+
"grad_norm": 0.04860702529549599,
|
| 3030 |
+
"learning_rate": 4.425403352658591e-06,
|
| 3031 |
+
"loss": 0.0006,
|
| 3032 |
+
"num_input_tokens_seen": 358315392,
|
| 3033 |
+
"step": 1890
|
| 3034 |
+
},
|
| 3035 |
+
{
|
| 3036 |
+
"epoch": 7.27447216890595,
|
| 3037 |
+
"grad_norm": 0.05813557654619217,
|
| 3038 |
+
"learning_rate": 4.330534936359873e-06,
|
| 3039 |
+
"loss": 0.0007,
|
| 3040 |
+
"num_input_tokens_seen": 359280384,
|
| 3041 |
+
"step": 1895
|
| 3042 |
+
},
|
| 3043 |
+
{
|
| 3044 |
+
"epoch": 7.293666026871401,
|
| 3045 |
+
"grad_norm": 0.08444052934646606,
|
| 3046 |
+
"learning_rate": 4.236597918799709e-06,
|
| 3047 |
+
"loss": 0.0007,
|
| 3048 |
+
"num_input_tokens_seen": 360221440,
|
| 3049 |
+
"step": 1900
|
| 3050 |
+
},
|
| 3051 |
+
{
|
| 3052 |
+
"epoch": 7.312859884836852,
|
| 3053 |
+
"grad_norm": 0.09866166114807129,
|
| 3054 |
+
"learning_rate": 4.143596532928468e-06,
|
| 3055 |
+
"loss": 0.0006,
|
| 3056 |
+
"num_input_tokens_seen": 361175936,
|
| 3057 |
+
"step": 1905
|
| 3058 |
+
},
|
| 3059 |
+
{
|
| 3060 |
+
"epoch": 7.332053742802303,
|
| 3061 |
+
"grad_norm": 0.039118677377700806,
|
| 3062 |
+
"learning_rate": 4.051534969535472e-06,
|
| 3063 |
+
"loss": 0.0006,
|
| 3064 |
+
"num_input_tokens_seen": 362113280,
|
| 3065 |
+
"step": 1910
|
| 3066 |
+
},
|
| 3067 |
+
{
|
| 3068 |
+
"epoch": 7.3512476007677545,
|
| 3069 |
+
"grad_norm": 0.08323455601930618,
|
| 3070 |
+
"learning_rate": 3.960417377060152e-06,
|
| 3071 |
+
"loss": 0.0006,
|
| 3072 |
+
"num_input_tokens_seen": 363056512,
|
| 3073 |
+
"step": 1915
|
| 3074 |
+
},
|
| 3075 |
+
{
|
| 3076 |
+
"epoch": 7.370441458733206,
|
| 3077 |
+
"grad_norm": 0.03620649501681328,
|
| 3078 |
+
"learning_rate": 3.8702478614051355e-06,
|
| 3079 |
+
"loss": 0.0006,
|
| 3080 |
+
"num_input_tokens_seen": 364026752,
|
| 3081 |
+
"step": 1920
|
| 3082 |
+
},
|
| 3083 |
+
{
|
| 3084 |
+
"epoch": 7.389635316698657,
|
| 3085 |
+
"grad_norm": 0.06456654518842697,
|
| 3086 |
+
"learning_rate": 3.7810304857511914e-06,
|
| 3087 |
+
"loss": 0.0006,
|
| 3088 |
+
"num_input_tokens_seen": 364979456,
|
| 3089 |
+
"step": 1925
|
| 3090 |
+
},
|
| 3091 |
+
{
|
| 3092 |
+
"epoch": 7.408829174664108,
|
| 3093 |
+
"grad_norm": 0.057450417429208755,
|
| 3094 |
+
"learning_rate": 3.6927692703741634e-06,
|
| 3095 |
+
"loss": 0.0006,
|
| 3096 |
+
"num_input_tokens_seen": 365919488,
|
| 3097 |
+
"step": 1930
|
| 3098 |
+
},
|
| 3099 |
+
{
|
| 3100 |
+
"epoch": 7.428023032629558,
|
| 3101 |
+
"grad_norm": 0.10976872593164444,
|
| 3102 |
+
"learning_rate": 3.605468192463815e-06,
|
| 3103 |
+
"loss": 0.0006,
|
| 3104 |
+
"num_input_tokens_seen": 366871552,
|
| 3105 |
+
"step": 1935
|
| 3106 |
+
},
|
| 3107 |
+
{
|
| 3108 |
+
"epoch": 7.447216890595009,
|
| 3109 |
+
"grad_norm": 0.04592859372496605,
|
| 3110 |
+
"learning_rate": 3.5191311859445796e-06,
|
| 3111 |
+
"loss": 0.0006,
|
| 3112 |
+
"num_input_tokens_seen": 367824768,
|
| 3113 |
+
"step": 1940
|
| 3114 |
+
},
|
| 3115 |
+
{
|
| 3116 |
+
"epoch": 7.4664107485604605,
|
| 3117 |
+
"grad_norm": 0.08413061499595642,
|
| 3118 |
+
"learning_rate": 3.4337621412983274e-06,
|
| 3119 |
+
"loss": 0.0007,
|
| 3120 |
+
"num_input_tokens_seen": 368776704,
|
| 3121 |
+
"step": 1945
|
| 3122 |
+
},
|
| 3123 |
+
{
|
| 3124 |
+
"epoch": 7.485604606525912,
|
| 3125 |
+
"grad_norm": 0.06421375274658203,
|
| 3126 |
+
"learning_rate": 3.3493649053890326e-06,
|
| 3127 |
+
"loss": 0.0006,
|
| 3128 |
+
"num_input_tokens_seen": 369726848,
|
| 3129 |
+
"step": 1950
|
| 3130 |
+
},
|
| 3131 |
+
{
|
| 3132 |
+
"epoch": 7.504798464491363,
|
| 3133 |
+
"grad_norm": 0.04606764018535614,
|
| 3134 |
+
"learning_rate": 3.2659432812894296e-06,
|
| 3135 |
+
"loss": 0.0007,
|
| 3136 |
+
"num_input_tokens_seen": 370669184,
|
| 3137 |
+
"step": 1955
|
| 3138 |
+
},
|
| 3139 |
+
{
|
| 3140 |
+
"epoch": 7.523992322456814,
|
| 3141 |
+
"grad_norm": 0.14935247600078583,
|
| 3142 |
+
"learning_rate": 3.183501028109642e-06,
|
| 3143 |
+
"loss": 0.001,
|
| 3144 |
+
"num_input_tokens_seen": 371619072,
|
| 3145 |
+
"step": 1960
|
| 3146 |
+
},
|
| 3147 |
+
{
|
| 3148 |
+
"epoch": 7.543186180422265,
|
| 3149 |
+
"grad_norm": 0.03758896514773369,
|
| 3150 |
+
"learning_rate": 3.1020418608278035e-06,
|
| 3151 |
+
"loss": 0.0006,
|
| 3152 |
+
"num_input_tokens_seen": 372591104,
|
| 3153 |
+
"step": 1965
|
| 3154 |
+
},
|
| 3155 |
+
{
|
| 3156 |
+
"epoch": 7.562380038387716,
|
| 3157 |
+
"grad_norm": 0.08971104770898819,
|
| 3158 |
+
"learning_rate": 3.0215694501226384e-06,
|
| 3159 |
+
"loss": 0.0006,
|
| 3160 |
+
"num_input_tokens_seen": 373540352,
|
| 3161 |
+
"step": 1970
|
| 3162 |
+
},
|
| 3163 |
+
{
|
| 3164 |
+
"epoch": 7.581573896353167,
|
| 3165 |
+
"grad_norm": 0.049786727875471115,
|
| 3166 |
+
"learning_rate": 2.942087422208051e-06,
|
| 3167 |
+
"loss": 0.0006,
|
| 3168 |
+
"num_input_tokens_seen": 374494336,
|
| 3169 |
+
"step": 1975
|
| 3170 |
+
},
|
| 3171 |
+
{
|
| 3172 |
+
"epoch": 7.600767754318618,
|
| 3173 |
+
"grad_norm": 0.14331580698490143,
|
| 3174 |
+
"learning_rate": 2.8635993586697553e-06,
|
| 3175 |
+
"loss": 0.0007,
|
| 3176 |
+
"num_input_tokens_seen": 375443968,
|
| 3177 |
+
"step": 1980
|
| 3178 |
+
},
|
| 3179 |
+
{
|
| 3180 |
+
"epoch": 7.619961612284069,
|
| 3181 |
+
"grad_norm": 0.1280643343925476,
|
| 3182 |
+
"learning_rate": 2.7861087963038435e-06,
|
| 3183 |
+
"loss": 0.0007,
|
| 3184 |
+
"num_input_tokens_seen": 376398848,
|
| 3185 |
+
"step": 1985
|
| 3186 |
+
},
|
| 3187 |
+
{
|
| 3188 |
+
"epoch": 7.63915547024952,
|
| 3189 |
+
"grad_norm": 0.07448034733533859,
|
| 3190 |
+
"learning_rate": 2.70961922695743e-06,
|
| 3191 |
+
"loss": 0.0006,
|
| 3192 |
+
"num_input_tokens_seen": 377363072,
|
| 3193 |
+
"step": 1990
|
| 3194 |
+
},
|
| 3195 |
+
{
|
| 3196 |
+
"epoch": 7.658349328214971,
|
| 3197 |
+
"grad_norm": 0.047854091972112656,
|
| 3198 |
+
"learning_rate": 2.6341340973713187e-06,
|
| 3199 |
+
"loss": 0.0005,
|
| 3200 |
+
"num_input_tokens_seen": 378285440,
|
| 3201 |
+
"step": 1995
|
| 3202 |
+
},
|
| 3203 |
+
{
|
| 3204 |
+
"epoch": 7.677543186180422,
|
| 3205 |
+
"grad_norm": 0.05751164257526398,
|
| 3206 |
+
"learning_rate": 2.5596568090246548e-06,
|
| 3207 |
+
"loss": 0.0006,
|
| 3208 |
+
"num_input_tokens_seen": 379227776,
|
| 3209 |
+
"step": 2000
|
| 3210 |
+
},
|
| 3211 |
+
{
|
| 3212 |
+
"epoch": 7.696737044145873,
|
| 3213 |
+
"grad_norm": 0.09036415070295334,
|
| 3214 |
+
"learning_rate": 2.486190717981665e-06,
|
| 3215 |
+
"loss": 0.0008,
|
| 3216 |
+
"num_input_tokens_seen": 380168064,
|
| 3217 |
+
"step": 2005
|
| 3218 |
+
},
|
| 3219 |
+
{
|
| 3220 |
+
"epoch": 7.7159309021113245,
|
| 3221 |
+
"grad_norm": 0.0800870880484581,
|
| 3222 |
+
"learning_rate": 2.4137391347404476e-06,
|
| 3223 |
+
"loss": 0.0007,
|
| 3224 |
+
"num_input_tokens_seen": 381124736,
|
| 3225 |
+
"step": 2010
|
| 3226 |
+
},
|
| 3227 |
+
{
|
| 3228 |
+
"epoch": 7.735124760076776,
|
| 3229 |
+
"grad_norm": 0.055397044867277145,
|
| 3230 |
+
"learning_rate": 2.3423053240837515e-06,
|
| 3231 |
+
"loss": 0.0007,
|
| 3232 |
+
"num_input_tokens_seen": 382078592,
|
| 3233 |
+
"step": 2015
|
| 3234 |
+
},
|
| 3235 |
+
{
|
| 3236 |
+
"epoch": 7.754318618042227,
|
| 3237 |
+
"grad_norm": 0.06471221148967743,
|
| 3238 |
+
"learning_rate": 2.271892504931905e-06,
|
| 3239 |
+
"loss": 0.0006,
|
| 3240 |
+
"num_input_tokens_seen": 383012224,
|
| 3241 |
+
"step": 2020
|
| 3242 |
+
},
|
| 3243 |
+
{
|
| 3244 |
+
"epoch": 7.773512476007678,
|
| 3245 |
+
"grad_norm": 0.05552973225712776,
|
| 3246 |
+
"learning_rate": 2.2025038501977486e-06,
|
| 3247 |
+
"loss": 0.0007,
|
| 3248 |
+
"num_input_tokens_seen": 383955328,
|
| 3249 |
+
"step": 2025
|
| 3250 |
+
},
|
| 3251 |
+
{
|
| 3252 |
+
"epoch": 7.792706333973129,
|
| 3253 |
+
"grad_norm": 0.05302416905760765,
|
| 3254 |
+
"learning_rate": 2.1341424866436364e-06,
|
| 3255 |
+
"loss": 0.0006,
|
| 3256 |
+
"num_input_tokens_seen": 384918528,
|
| 3257 |
+
"step": 2030
|
| 3258 |
+
},
|
| 3259 |
+
{
|
| 3260 |
+
"epoch": 7.811900191938579,
|
| 3261 |
+
"grad_norm": 0.04085630923509598,
|
| 3262 |
+
"learning_rate": 2.0668114947405726e-06,
|
| 3263 |
+
"loss": 0.0006,
|
| 3264 |
+
"num_input_tokens_seen": 385865472,
|
| 3265 |
+
"step": 2035
|
| 3266 |
+
},
|
| 3267 |
+
{
|
| 3268 |
+
"epoch": 7.8310940499040305,
|
| 3269 |
+
"grad_norm": 0.11027319729328156,
|
| 3270 |
+
"learning_rate": 2.0005139085293945e-06,
|
| 3271 |
+
"loss": 0.0007,
|
| 3272 |
+
"num_input_tokens_seen": 386815488,
|
| 3273 |
+
"step": 2040
|
| 3274 |
+
},
|
| 3275 |
+
{
|
| 3276 |
+
"epoch": 7.850287907869482,
|
| 3277 |
+
"grad_norm": 0.10259139537811279,
|
| 3278 |
+
"learning_rate": 1.9352527154840345e-06,
|
| 3279 |
+
"loss": 0.0006,
|
| 3280 |
+
"num_input_tokens_seen": 387746176,
|
| 3281 |
+
"step": 2045
|
| 3282 |
+
},
|
| 3283 |
+
{
|
| 3284 |
+
"epoch": 7.869481765834933,
|
| 3285 |
+
"grad_norm": 0.08809423446655273,
|
| 3286 |
+
"learning_rate": 1.8710308563769124e-06,
|
| 3287 |
+
"loss": 0.0006,
|
| 3288 |
+
"num_input_tokens_seen": 388682752,
|
| 3289 |
+
"step": 2050
|
| 3290 |
+
},
|
| 3291 |
+
{
|
| 3292 |
+
"epoch": 7.888675623800384,
|
| 3293 |
+
"grad_norm": 0.04966364800930023,
|
| 3294 |
+
"learning_rate": 1.8078512251464286e-06,
|
| 3295 |
+
"loss": 0.0006,
|
| 3296 |
+
"num_input_tokens_seen": 389629056,
|
| 3297 |
+
"step": 2055
|
| 3298 |
+
},
|
| 3299 |
+
{
|
| 3300 |
+
"epoch": 7.907869481765835,
|
| 3301 |
+
"grad_norm": 0.17464539408683777,
|
| 3302 |
+
"learning_rate": 1.7457166687665449e-06,
|
| 3303 |
+
"loss": 0.0008,
|
| 3304 |
+
"num_input_tokens_seen": 390563584,
|
| 3305 |
+
"step": 2060
|
| 3306 |
+
},
|
| 3307 |
+
{
|
| 3308 |
+
"epoch": 7.927063339731286,
|
| 3309 |
+
"grad_norm": 0.04215671867132187,
|
| 3310 |
+
"learning_rate": 1.684629987118494e-06,
|
| 3311 |
+
"loss": 0.0006,
|
| 3312 |
+
"num_input_tokens_seen": 391511808,
|
| 3313 |
+
"step": 2065
|
| 3314 |
+
},
|
| 3315 |
+
{
|
| 3316 |
+
"epoch": 7.946257197696737,
|
| 3317 |
+
"grad_norm": 0.07717634737491608,
|
| 3318 |
+
"learning_rate": 1.624593932864632e-06,
|
| 3319 |
+
"loss": 0.0007,
|
| 3320 |
+
"num_input_tokens_seen": 392460032,
|
| 3321 |
+
"step": 2070
|
| 3322 |
+
},
|
| 3323 |
+
{
|
| 3324 |
+
"epoch": 7.9654510556621885,
|
| 3325 |
+
"grad_norm": 0.04429319128394127,
|
| 3326 |
+
"learning_rate": 1.5656112113243721e-06,
|
| 3327 |
+
"loss": 0.0006,
|
| 3328 |
+
"num_input_tokens_seen": 393403264,
|
| 3329 |
+
"step": 2075
|
| 3330 |
+
},
|
| 3331 |
+
{
|
| 3332 |
+
"epoch": 7.984644913627639,
|
| 3333 |
+
"grad_norm": 0.06878451257944107,
|
| 3334 |
+
"learning_rate": 1.5076844803522922e-06,
|
| 3335 |
+
"loss": 0.0006,
|
| 3336 |
+
"num_input_tokens_seen": 394339584,
|
| 3337 |
+
"step": 2080
|
| 3338 |
+
},
|
| 3339 |
+
{
|
| 3340 |
+
"epoch": 8.00383877159309,
|
| 3341 |
+
"grad_norm": 0.05545974150300026,
|
| 3342 |
+
"learning_rate": 1.4508163502183786e-06,
|
| 3343 |
+
"loss": 0.0006,
|
| 3344 |
+
"num_input_tokens_seen": 395291264,
|
| 3345 |
+
"step": 2085
|
| 3346 |
+
},
|
| 3347 |
+
{
|
| 3348 |
+
"epoch": 8.023032629558541,
|
| 3349 |
+
"grad_norm": 0.07342655211687088,
|
| 3350 |
+
"learning_rate": 1.3950093834903866e-06,
|
| 3351 |
+
"loss": 0.0005,
|
| 3352 |
+
"num_input_tokens_seen": 396246272,
|
| 3353 |
+
"step": 2090
|
| 3354 |
+
},
|
| 3355 |
+
{
|
| 3356 |
+
"epoch": 8.042226487523992,
|
| 3357 |
+
"grad_norm": 0.030074596405029297,
|
| 3358 |
+
"learning_rate": 1.340266094918366e-06,
|
| 3359 |
+
"loss": 0.0005,
|
| 3360 |
+
"num_input_tokens_seen": 397189376,
|
| 3361 |
+
"step": 2095
|
| 3362 |
+
},
|
| 3363 |
+
{
|
| 3364 |
+
"epoch": 8.061420345489443,
|
| 3365 |
+
"grad_norm": 0.0349307544529438,
|
| 3366 |
+
"learning_rate": 1.286588951321363e-06,
|
| 3367 |
+
"loss": 0.0004,
|
| 3368 |
+
"num_input_tokens_seen": 398128000,
|
| 3369 |
+
"step": 2100
|
| 3370 |
+
}
|
| 3371 |
+
],
|
| 3372 |
+
"logging_steps": 5,
|
| 3373 |
+
"max_steps": 2340,
|
| 3374 |
+
"num_input_tokens_seen": 398128000,
|
| 3375 |
+
"num_train_epochs": 9,
|
| 3376 |
+
"save_steps": 10,
|
| 3377 |
+
"stateful_callbacks": {
|
| 3378 |
+
"TrainerControl": {
|
| 3379 |
+
"args": {
|
| 3380 |
+
"should_epoch_stop": false,
|
| 3381 |
+
"should_evaluate": false,
|
| 3382 |
+
"should_log": false,
|
| 3383 |
+
"should_save": true,
|
| 3384 |
+
"should_training_stop": false
|
| 3385 |
+
},
|
| 3386 |
+
"attributes": {}
|
| 3387 |
+
}
|
| 3388 |
+
},
|
| 3389 |
+
"total_flos": 3.201849892590846e+18,
|
| 3390 |
+
"train_batch_size": 16,
|
| 3391 |
+
"trial_name": null,
|
| 3392 |
+
"trial_params": null
|
| 3393 |
+
}
|
training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:9eb343fa9de0ecf90f35477907f4d0961c543f0aadbab5b9de4e6d0d2c99308b
|
| 3 |
+
size 5560
|