| --- |
| base_model: ShynBui/comment_classification |
| tags: |
| - generated_from_trainer |
| metrics: |
| - accuracy |
| model-index: |
| - name: comment_classification_v2 |
| results: [] |
| --- |
| |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| should probably proofread and complete it, then remove this comment. --> |
|
|
| # comment_classification_v2 |
|
|
| This model is a fine-tuned version of [ShynBui/comment_classification](https://huggingface.co/ShynBui/comment_classification) on an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.1372 |
| - Accuracy: 0.9775 |
|
|
| ## Model description |
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| More information needed |
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|
| ## Intended uses & limitations |
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| More information needed |
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| ## Training and evaluation data |
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| More information needed |
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|
| ## Training procedure |
|
|
| ### Training hyperparameters |
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| The following hyperparameters were used during training: |
| - learning_rate: 2e-05 |
| - train_batch_size: 8 |
| - eval_batch_size: 8 |
| - seed: 42 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - num_epochs: 5 |
|
|
| ### Training results |
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|
| | Training Loss | Epoch | Step | Validation Loss | Accuracy | |
| |:-------------:|:-----:|:-----:|:---------------:|:--------:| |
| | 0.1271 | 1.0 | 5190 | 0.1112 | 0.9738 | |
| | 0.077 | 2.0 | 10380 | 0.0945 | 0.9749 | |
| | 0.0494 | 3.0 | 15570 | 0.1181 | 0.9766 | |
| | 0.0342 | 4.0 | 20760 | 0.1282 | 0.9763 | |
| | 0.0201 | 5.0 | 25950 | 0.1372 | 0.9775 | |
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| ### Framework versions |
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| - Transformers 4.38.2 |
| - Pytorch 2.1.0+cu121 |
| - Tokenizers 0.15.2 |
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