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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: 0.5850 |
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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: 50 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 3.396 | 1.0 | 6 | 2.7406 | |
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| 2.3939 | 2.0 | 12 | 1.9948 | |
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| 1.7939 | 3.0 | 18 | 1.6558 | |
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| 1.5985 | 4.0 | 24 | 1.6015 | |
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| 1.6024 | 5.0 | 30 | 1.5540 | |
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| 1.5383 | 6.0 | 36 | 1.5356 | |
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| 1.4729 | 7.0 | 42 | 1.5437 | |
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| 1.4981 | 8.0 | 48 | 1.4425 | |
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| 1.3622 | 9.0 | 54 | 1.4418 | |
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| 1.3585 | 10.0 | 60 | 1.3501 | |
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| 1.2883 | 11.0 | 66 | 1.2932 | |
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| 1.2361 | 12.0 | 72 | 1.3210 | |
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| 1.2274 | 13.0 | 78 | 1.2883 | |
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| 1.2667 | 14.0 | 84 | 1.2169 | |
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| 1.1679 | 15.0 | 90 | 1.1638 | |
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| 1.1237 | 16.0 | 96 | 1.1617 | |
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| 1.144 | 17.0 | 102 | 1.0919 | |
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| 1.0771 | 18.0 | 108 | 1.0928 | |
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| 1.059 | 19.0 | 114 | 1.0184 | |
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| 1.0024 | 20.0 | 120 | 0.9676 | |
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| 0.9949 | 21.0 | 126 | 0.9555 | |
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| 0.986 | 22.0 | 132 | 1.0286 | |
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| 1.0278 | 23.0 | 138 | 0.9337 | |
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| 0.9413 | 24.0 | 144 | 0.9162 | |
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| 0.912 | 25.0 | 150 | 0.9396 | |
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| 0.9621 | 26.0 | 156 | 0.8786 | |
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| 0.9102 | 27.0 | 162 | 0.8947 | |
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| 0.9384 | 28.0 | 168 | 0.8820 | |
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| 0.868 | 29.0 | 174 | 0.8468 | |
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| 0.8512 | 30.0 | 180 | 0.8478 | |
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| 0.8302 | 31.0 | 186 | 0.8099 | |
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| 0.8327 | 32.0 | 192 | 0.7622 | |
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| 0.8193 | 33.0 | 198 | 0.7596 | |
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| 0.7834 | 34.0 | 204 | 0.7329 | |
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| 0.7608 | 35.0 | 210 | 0.7229 | |
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| 0.7686 | 36.0 | 216 | 0.7257 | |
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| 0.7262 | 37.0 | 222 | 0.6940 | |
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| 0.7342 | 38.0 | 228 | 0.7117 | |
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| 0.7209 | 39.0 | 234 | 0.6646 | |
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| 0.7099 | 40.0 | 240 | 0.6530 | |
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| 0.6908 | 41.0 | 246 | 0.6397 | |
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| 0.6895 | 42.0 | 252 | 0.6356 | |
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| 0.6761 | 43.0 | 258 | 0.6202 | |
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| 0.668 | 44.0 | 264 | 0.6174 | |
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| 0.6735 | 45.0 | 270 | 0.6074 | |
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| 0.6502 | 46.0 | 276 | 0.6019 | |
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| 0.6427 | 47.0 | 282 | 0.5953 | |
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| 0.6326 | 48.0 | 288 | 0.5904 | |
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| 0.6467 | 49.0 | 294 | 0.5872 | |
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| 0.6307 | 50.0 | 300 | 0.5850 | |
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### Framework versions |
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- Transformers 4.37.2 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.17.1 |
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- Tokenizers 0.15.2 |
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