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--- |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: baseline |
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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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# baseline |
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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: 1.7391 |
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- Exact Match: 0.0 |
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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: 0.001 |
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- train_batch_size: 64 |
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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: 20 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Exact Match | |
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|:-------------:|:-----:|:----:|:---------------:|:-----------:| |
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| 2.0707 | 1.0 | 157 | 1.4872 | 0.003 | |
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| 1.0627 | 2.0 | 314 | 1.2868 | 0.007 | |
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| 0.8185 | 3.0 | 471 | 1.2750 | 0.0 | |
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| 0.6815 | 4.0 | 628 | 1.4788 | 0.0 | |
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| 0.6021 | 5.0 | 785 | 1.3314 | 0.003 | |
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| 0.5331 | 6.0 | 942 | 1.4174 | 0.0 | |
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| 0.481 | 7.0 | 1099 | 1.5780 | 0.0 | |
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| 0.442 | 8.0 | 1256 | 1.4797 | 0.0 | |
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| 0.4027 | 9.0 | 1413 | 1.5298 | 0.0 | |
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| 0.3629 | 10.0 | 1570 | 1.5906 | 0.0 | |
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| 0.3313 | 11.0 | 1727 | 1.6076 | 0.0 | |
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| 0.3031 | 12.0 | 1884 | 1.7169 | 0.0 | |
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| 0.269 | 13.0 | 2041 | 1.5874 | 0.0 | |
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| 0.2433 | 14.0 | 2198 | 1.7706 | 0.0 | |
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| 0.2079 | 15.0 | 2355 | 1.6666 | 0.0 | |
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| 0.1772 | 16.0 | 2512 | 1.6823 | 0.0 | |
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| 0.1549 | 17.0 | 2669 | 1.7645 | 0.0 | |
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| 0.1345 | 18.0 | 2826 | 1.7436 | 0.0 | |
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| 0.124 | 19.0 | 2983 | 1.7963 | 0.0 | |
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| 0.1166 | 20.0 | 3140 | 1.7391 | 0.0 | |
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### Framework versions |
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- Transformers 4.35.2 |
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- Pytorch 2.1.0+cu118 |
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- Datasets 2.15.0 |
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- Tokenizers 0.15.0 |
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