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--- |
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base_model: ShynBui/comment_classification |
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tags: |
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- generated_from_trainer |
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metrics: |
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- accuracy |
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model-index: |
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- name: comment_classification_v2 |
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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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should probably proofread and complete it, then remove this comment. --> |
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# comment_classification_v2 |
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This model is a fine-tuned version of [ShynBui/comment_classification](https://huggingface.co/ShynBui/comment_classification) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1372 |
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- Accuracy: 0.9775 |
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## 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 |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 2e-05 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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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: 5 |
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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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| 0.1271 | 1.0 | 5190 | 0.1112 | 0.9738 | |
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| 0.077 | 2.0 | 10380 | 0.0945 | 0.9749 | |
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| 0.0494 | 3.0 | 15570 | 0.1181 | 0.9766 | |
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| 0.0342 | 4.0 | 20760 | 0.1282 | 0.9763 | |
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| 0.0201 | 5.0 | 25950 | 0.1372 | 0.9775 | |
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### Framework versions |
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- Transformers 4.38.2 |
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- Pytorch 2.1.0+cu121 |
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- Tokenizers 0.15.2 |
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