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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: 0.6087 |
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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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| 3.3748 | 1.0 | 6 | 2.7546 | |
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| 2.3666 | 2.0 | 12 | 2.0282 | |
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| 1.8315 | 3.0 | 18 | 1.6880 | |
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| 1.616 | 4.0 | 24 | 1.5382 | |
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| 1.503 | 5.0 | 30 | 1.4603 | |
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| 1.4344 | 6.0 | 36 | 1.4103 | |
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| 1.3878 | 7.0 | 42 | 1.3806 | |
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| 1.3418 | 8.0 | 48 | 1.2722 | |
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| 1.2509 | 9.0 | 54 | 1.2194 | |
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| 1.2581 | 10.0 | 60 | 1.2255 | |
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| 1.2361 | 11.0 | 66 | 1.4183 | |
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| 1.259 | 12.0 | 72 | 1.1575 | |
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| 1.1246 | 13.0 | 78 | 1.1058 | |
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| 1.0757 | 14.0 | 84 | 1.0496 | |
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| 1.0499 | 15.0 | 90 | 1.0402 | |
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| 0.9797 | 16.0 | 96 | 0.9715 | |
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| 0.9347 | 17.0 | 102 | 0.9876 | |
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| 0.9267 | 18.0 | 108 | 0.9119 | |
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| 0.8861 | 19.0 | 114 | 0.9250 | |
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| 0.9253 | 20.0 | 120 | 0.8471 | |
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| 0.9204 | 21.0 | 126 | 0.8488 | |
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| 0.8545 | 22.0 | 132 | 0.8404 | |
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| 0.8283 | 23.0 | 138 | 0.7885 | |
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| 0.7892 | 24.0 | 144 | 0.8518 | |
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| 0.804 | 25.0 | 150 | 0.9104 | |
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| 0.8278 | 26.0 | 156 | 0.7776 | |
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| 0.7759 | 27.0 | 162 | 0.7776 | |
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| 0.7388 | 28.0 | 168 | 0.7396 | |
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| 0.7323 | 29.0 | 174 | 0.7238 | |
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| 0.727 | 30.0 | 180 | 0.6978 | |
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| 0.7104 | 31.0 | 186 | 0.6916 | |
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| 0.6964 | 32.0 | 192 | 0.6704 | |
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| 0.6797 | 33.0 | 198 | 0.6547 | |
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| 0.661 | 34.0 | 204 | 0.6457 | |
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| 0.6567 | 35.0 | 210 | 0.6497 | |
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| 0.6494 | 36.0 | 216 | 0.6411 | |
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| 0.6526 | 37.0 | 222 | 0.6314 | |
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| 0.6379 | 38.0 | 228 | 0.6150 | |
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| 0.6224 | 39.0 | 234 | 0.6093 | |
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| 0.6231 | 40.0 | 240 | 0.6087 | |
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### Framework versions |
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- Transformers 4.38.2 |
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- Pytorch 2.1.1+cu121 |
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- Datasets 2.17.1 |
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- Tokenizers 0.15.2 |
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