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--- |
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license: mit |
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base_model: prajjwal1/bert-small |
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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-small-finetuned |
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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-small-finetuned |
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This model is a fine-tuned version of [prajjwal1/bert-small](https://huggingface.co/prajjwal1/bert-small) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.9943 |
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- Accuracy: 0.5822 |
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- F1 Score: 0.5820 |
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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: 1.0136026165598675e-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: 10 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 Score | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:| |
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| No log | 1.0 | 186 | 1.1631 | 0.4636 | 0.4346 | |
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| No log | 2.0 | 372 | 1.0563 | 0.5553 | 0.5558 | |
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| 1.1271 | 3.0 | 558 | 1.0238 | 0.5633 | 0.5629 | |
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| 1.1271 | 4.0 | 744 | 0.9990 | 0.5795 | 0.5786 | |
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| 1.1271 | 5.0 | 930 | 0.9943 | 0.5822 | 0.5820 | |
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| 0.8392 | 6.0 | 1116 | 1.0389 | 0.5741 | 0.5692 | |
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| 0.8392 | 7.0 | 1302 | 1.0114 | 0.5768 | 0.5759 | |
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| 0.8392 | 8.0 | 1488 | 1.0277 | 0.5741 | 0.5702 | |
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| 0.692 | 9.0 | 1674 | 1.0246 | 0.5822 | 0.5799 | |
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| 0.692 | 10.0 | 1860 | 1.0241 | 0.5822 | 0.5797 | |
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### Framework versions |
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- Transformers 4.35.0 |
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- Pytorch 2.1.0+cu118 |
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- Datasets 2.14.6 |
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- Tokenizers 0.14.1 |
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