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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: calculator_model_test |
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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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# calculator_model_test |
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This model is a fine-tuned version of [](https://huggingface.co/) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.8846 |
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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: 512 |
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- eval_batch_size: 512 |
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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: 40 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 3.7375 | 1.0 | 14 | 2.8446 | |
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| 2.5309 | 2.0 | 28 | 2.3889 | |
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| 2.3406 | 3.0 | 42 | 2.3073 | |
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| 2.2691 | 4.0 | 56 | 2.2098 | |
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| 2.1412 | 5.0 | 70 | 2.0464 | |
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| 1.9372 | 6.0 | 84 | 1.7744 | |
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| 1.6761 | 7.0 | 98 | 1.5399 | |
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| 1.4725 | 8.0 | 112 | 1.3886 | |
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| 1.368 | 9.0 | 126 | 1.3246 | |
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| 1.33 | 10.0 | 140 | 1.3355 | |
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| 1.3119 | 11.0 | 154 | 1.2886 | |
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| 1.2836 | 12.0 | 168 | 1.2712 | |
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| 1.2668 | 13.0 | 182 | 1.2703 | |
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| 1.2526 | 14.0 | 196 | 1.2477 | |
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| 1.2292 | 15.0 | 210 | 1.2339 | |
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| 1.203 | 16.0 | 224 | 1.1997 | |
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| 1.1686 | 17.0 | 238 | 1.1764 | |
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| 1.1308 | 18.0 | 252 | 1.1424 | |
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| 1.0866 | 19.0 | 266 | 1.1034 | |
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| 1.0355 | 20.0 | 280 | 1.0546 | |
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| 1.0031 | 21.0 | 294 | 1.0241 | |
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| 0.9608 | 22.0 | 308 | 0.9925 | |
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| 0.924 | 23.0 | 322 | 0.9673 | |
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| 0.9022 | 24.0 | 336 | 0.9555 | |
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| 0.8733 | 25.0 | 350 | 0.9381 | |
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| 0.8549 | 26.0 | 364 | 0.9394 | |
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| 0.8363 | 27.0 | 378 | 0.9274 | |
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| 0.8129 | 28.0 | 392 | 0.9211 | |
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| 0.7894 | 29.0 | 406 | 0.9149 | |
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| 0.7705 | 30.0 | 420 | 0.9042 | |
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| 0.7509 | 31.0 | 434 | 0.8962 | |
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| 0.7363 | 32.0 | 448 | 0.9003 | |
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| 0.7261 | 33.0 | 462 | 0.8935 | |
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| 0.7135 | 34.0 | 476 | 0.8923 | |
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| 0.6988 | 35.0 | 490 | 0.8961 | |
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| 0.6883 | 36.0 | 504 | 0.8883 | |
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| 0.6768 | 37.0 | 518 | 0.8905 | |
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| 0.6686 | 38.0 | 532 | 0.8885 | |
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| 0.6625 | 39.0 | 546 | 0.8865 | |
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| 0.6566 | 40.0 | 560 | 0.8846 | |
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### Framework versions |
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- Transformers 4.38.1 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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