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Parent(s): 4b225ef
Training completed! - 3 epochs
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README.md
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- generated_from_trainer
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datasets:
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- emotion
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model-index:
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- name: distilbert-emotion
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results:
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# distilbert-emotion
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This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the emotion dataset.
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## Model description
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs:
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| No log | 1.0 | 250 | 0.
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### Framework versions
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- Transformers 4.34.1
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- Pytorch 2.
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- Datasets 2.14.5
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- Tokenizers 0.14.1
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- generated_from_trainer
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datasets:
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- emotion
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metrics:
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- accuracy
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model-index:
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- name: distilbert-emotion
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results:
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- task:
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name: Text Classification
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type: text-classification
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dataset:
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name: emotion
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type: emotion
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config: split
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split: validation
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args: split
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.9385
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# distilbert-emotion
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This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the emotion dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.1333
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- Accuracy: 0.9385
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## Model description
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 3
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| No log | 1.0 | 250 | 0.1954 | 0.926 |
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| 0.3494 | 2.0 | 500 | 0.1472 | 0.937 |
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| 0.3494 | 3.0 | 750 | 0.1333 | 0.9385 |
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### Framework versions
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- Transformers 4.34.1
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- Pytorch 2.1.0+cpu
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- Datasets 2.14.5
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- Tokenizers 0.14.1
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