| --- |
| tags: |
| - generated_from_trainer |
| metrics: |
| - accuracy |
| model-index: |
| - name: bert_base_cased_MultiClass_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. --> |
|
|
| # bert_base_cased_MultiClass_v2 |
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|
| This model is a fine-tuned version of [HMEXBI/bert_base_cased_MultiClass](https://huggingface.co/HMEXBI/bert_base_cased_MultiClass) on the None dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.9806 |
| - Accuracy: 0.8101 |
|
|
| ## 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: |
| - learning_rate: 5e-05 |
| - train_batch_size: 8 |
| - eval_batch_size: 32 |
| - seed: 42 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - num_epochs: 5 |
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|
| ### Training results |
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|
| | Training Loss | Epoch | Step | Validation Loss | Accuracy | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:| |
| | 1.1396 | 1.0 | 545 | 0.9023 | 0.7615 | |
| | 0.6961 | 2.0 | 1090 | 0.8074 | 0.7798 | |
| | 0.492 | 3.0 | 1635 | 0.8216 | 0.8009 | |
| | 0.3032 | 4.0 | 2180 | 0.9264 | 0.8018 | |
| | 0.1898 | 5.0 | 2725 | 0.9806 | 0.8101 | |
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| ### Framework versions |
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| - Transformers 4.26.1 |
| - Pytorch 1.13.1+cu116 |
| - Datasets 2.10.0 |
| - Tokenizers 0.13.2 |
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|
