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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: 0.0011 |
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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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| 2.3492 | 1.0 | 11 | 1.8446 | |
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| 1.6854 | 2.0 | 22 | 1.3965 | |
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| 1.1935 | 3.0 | 33 | 0.8348 | |
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| 0.5028 | 4.0 | 44 | 0.3122 | |
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| 0.2788 | 5.0 | 55 | 0.2400 | |
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| 0.2212 | 6.0 | 66 | 0.1893 | |
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| 0.1813 | 7.0 | 77 | 0.1544 | |
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| 0.1515 | 8.0 | 88 | 0.1281 | |
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| 0.1206 | 9.0 | 99 | 0.0903 | |
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| 0.087 | 10.0 | 110 | 0.0571 | |
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| 0.058 | 11.0 | 121 | 0.0359 | |
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| 0.0378 | 12.0 | 132 | 0.0204 | |
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| 0.0249 | 13.0 | 143 | 0.0126 | |
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| 0.0169 | 14.0 | 154 | 0.0085 | |
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| 0.0123 | 15.0 | 165 | 0.0061 | |
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| 0.009 | 16.0 | 176 | 0.0047 | |
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| 0.0073 | 17.0 | 187 | 0.0037 | |
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| 0.006 | 18.0 | 198 | 0.0031 | |
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| 0.0049 | 19.0 | 209 | 0.0024 | |
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| 0.0043 | 20.0 | 220 | 0.0023 | |
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| 0.0037 | 21.0 | 231 | 0.0020 | |
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| 0.0033 | 22.0 | 242 | 0.0019 | |
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| 0.0032 | 23.0 | 253 | 0.0018 | |
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| 0.003 | 24.0 | 264 | 0.0016 | |
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| 0.0025 | 25.0 | 275 | 0.0015 | |
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| 0.0024 | 26.0 | 286 | 0.0014 | |
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| 0.0023 | 27.0 | 297 | 0.0014 | |
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| 0.0022 | 28.0 | 308 | 0.0014 | |
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| 0.0021 | 29.0 | 319 | 0.0013 | |
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| 0.002 | 30.0 | 330 | 0.0012 | |
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| 0.0019 | 31.0 | 341 | 0.0012 | |
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| 0.0018 | 32.0 | 352 | 0.0012 | |
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| 0.0018 | 33.0 | 363 | 0.0012 | |
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| 0.0017 | 34.0 | 374 | 0.0011 | |
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| 0.0018 | 35.0 | 385 | 0.0011 | |
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| 0.0018 | 36.0 | 396 | 0.0011 | |
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| 0.0017 | 37.0 | 407 | 0.0011 | |
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| 0.0016 | 38.0 | 418 | 0.0011 | |
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| 0.0016 | 39.0 | 429 | 0.0011 | |
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| 0.0015 | 40.0 | 440 | 0.0011 | |
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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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