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--- |
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library_name: transformers |
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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: 0.1171 |
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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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| 3.0616 | 1.0 | 6 | 2.4103 | |
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| 2.1327 | 2.0 | 12 | 1.8156 | |
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| 1.6546 | 3.0 | 18 | 1.4538 | |
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| 1.3238 | 4.0 | 24 | 1.1793 | |
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| 1.0938 | 5.0 | 30 | 1.0270 | |
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| 0.9418 | 6.0 | 36 | 0.8882 | |
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| 0.8472 | 7.0 | 42 | 0.8048 | |
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| 0.8069 | 8.0 | 48 | 0.7782 | |
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| 0.7235 | 9.0 | 54 | 0.6833 | |
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| 0.6806 | 10.0 | 60 | 0.6410 | |
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| 0.626 | 11.0 | 66 | 0.5912 | |
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| 0.5771 | 12.0 | 72 | 0.5144 | |
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| 0.5162 | 13.0 | 78 | 0.4871 | |
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| 0.4921 | 14.0 | 84 | 0.4862 | |
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| 0.4791 | 15.0 | 90 | 0.4469 | |
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| 0.4594 | 16.0 | 96 | 0.3999 | |
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| 0.3923 | 17.0 | 102 | 0.3790 | |
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| 0.3812 | 18.0 | 108 | 0.3455 | |
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| 0.3584 | 19.0 | 114 | 0.3355 | |
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| 0.3303 | 20.0 | 120 | 0.2909 | |
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| 0.2955 | 21.0 | 126 | 0.2728 | |
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| 0.2934 | 22.0 | 132 | 0.3018 | |
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| 0.2927 | 23.0 | 138 | 0.2477 | |
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| 0.2647 | 24.0 | 144 | 0.2527 | |
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| 0.2712 | 25.0 | 150 | 0.2479 | |
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| 0.2469 | 26.0 | 156 | 0.2299 | |
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| 0.2568 | 27.0 | 162 | 0.2180 | |
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| 0.2518 | 28.0 | 168 | 0.2178 | |
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| 0.2378 | 29.0 | 174 | 0.2158 | |
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| 0.222 | 30.0 | 180 | 0.1843 | |
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| 0.1971 | 31.0 | 186 | 0.1780 | |
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| 0.1936 | 32.0 | 192 | 0.1677 | |
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| 0.1928 | 33.0 | 198 | 0.1573 | |
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| 0.1708 | 34.0 | 204 | 0.1471 | |
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| 0.153 | 35.0 | 210 | 0.1375 | |
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| 0.16 | 36.0 | 216 | 0.1321 | |
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| 0.1493 | 37.0 | 222 | 0.1255 | |
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| 0.1438 | 38.0 | 228 | 0.1204 | |
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| 0.1401 | 39.0 | 234 | 0.1181 | |
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| 0.1492 | 40.0 | 240 | 0.1171 | |
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### Framework versions |
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- Transformers 4.45.2 |
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- Pytorch 2.5.1+cu124 |
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- Datasets 3.3.2 |
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- Tokenizers 0.20.3 |
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