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--- |
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library_name: transformers |
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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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- f1 |
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- precision |
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- recall |
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model-index: |
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- name: bert-clf-biencoder-kl_divergence |
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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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# bert-clf-biencoder-kl_divergence |
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This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.9704 |
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- Accuracy: 0.6796 |
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- F1: 0.6805 |
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- Precision: 0.6861 |
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- Recall: 0.6796 |
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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: 32 |
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- eval_batch_size: 32 |
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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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- lr_scheduler_warmup_steps: 100 |
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- num_epochs: 7 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:| |
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| 1.1507 | 1.0 | 78 | 1.0456 | 0.5890 | 0.5705 | 0.5986 | 0.5890 | |
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| 0.8285 | 2.0 | 156 | 0.8576 | 0.6408 | 0.6321 | 0.6551 | 0.6408 | |
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| 0.641 | 3.0 | 234 | 0.7892 | 0.7184 | 0.7180 | 0.7193 | 0.7184 | |
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| 0.4958 | 4.0 | 312 | 0.8131 | 0.6828 | 0.6838 | 0.6931 | 0.6828 | |
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| 0.3401 | 5.0 | 390 | 0.8735 | 0.6893 | 0.6903 | 0.6960 | 0.6893 | |
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| 0.2407 | 6.0 | 468 | 0.9288 | 0.6828 | 0.6829 | 0.6842 | 0.6828 | |
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| 0.1889 | 7.0 | 546 | 0.9704 | 0.6796 | 0.6805 | 0.6861 | 0.6796 | |
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### Framework versions |
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- Transformers 4.45.1 |
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- Pytorch 2.4.0 |
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- Datasets 3.0.1 |
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- Tokenizers 0.20.0 |
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