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--- |
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library_name: transformers |
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license: apache-2.0 |
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base_model: distilbert-base-uncased |
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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: bert_combined_top |
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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_combined_top |
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This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0320 |
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- Accuracy: 0.9872 |
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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: 1e-05 |
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- train_batch_size: 2 |
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- eval_batch_size: 2 |
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- seed: 42 |
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- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: linear |
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- num_epochs: 10 |
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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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| 0.9945 | 1.0 | 780 | 0.7471 | 0.7179 | |
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| 0.7659 | 2.0 | 1560 | 0.5219 | 0.8269 | |
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| 0.5512 | 3.0 | 2340 | 0.3141 | 0.9199 | |
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| 0.372 | 4.0 | 3120 | 0.2176 | 0.9519 | |
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| 0.2519 | 5.0 | 3900 | 0.1440 | 0.9679 | |
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| 0.172 | 6.0 | 4680 | 0.1142 | 0.9776 | |
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| 0.1873 | 7.0 | 5460 | 0.0943 | 0.9808 | |
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| 0.0807 | 8.0 | 6240 | 0.0449 | 0.9904 | |
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| 0.1075 | 9.0 | 7020 | 0.0432 | 0.9904 | |
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| 0.0479 | 10.0 | 7800 | 0.0320 | 0.9872 | |
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### Framework versions |
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- Transformers 4.47.1 |
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- Pytorch 2.5.1+cu121 |
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- Datasets 3.2.0 |
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- Tokenizers 0.21.0 |
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