AG-Prompt- Unified Multilingual-Trained-Models
Collection
4 items • Updated
Llama-2-7b-chat-hf
This model is a fine-tuned version of meta-llama/Llama-2-7b-chat-hf using AG prompt with the QE dataset.
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 2
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 1.0
- mixed_precision_training: Native AMP
Training results
Framework versions
- PEFT 0.10.0
- Transformers 4.39.3
- Pytorch 2.1.2+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
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Model tree for surrey-nlp/AG-Llama-2-7b
Base model
meta-llama/Llama-2-7b-chat-hf