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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_test2 |
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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_test2 |
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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: 0.1318 |
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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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| 2.9409 | 1.0 | 6 | 2.2604 | |
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| 2.0221 | 2.0 | 12 | 1.7164 | |
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| 1.5231 | 3.0 | 18 | 1.2971 | |
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| 1.1926 | 4.0 | 24 | 1.0828 | |
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| 1.0328 | 5.0 | 30 | 0.9510 | |
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| 0.9177 | 6.0 | 36 | 0.8256 | |
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| 0.8079 | 7.0 | 42 | 0.7383 | |
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| 0.7261 | 8.0 | 48 | 0.6878 | |
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| 0.6844 | 9.0 | 54 | 0.6245 | |
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| 0.6421 | 10.0 | 60 | 0.5833 | |
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| 0.6088 | 11.0 | 66 | 0.5801 | |
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| 0.5638 | 12.0 | 72 | 0.5270 | |
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| 0.5326 | 13.0 | 78 | 0.4975 | |
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| 0.5134 | 14.0 | 84 | 0.5070 | |
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| 0.5135 | 15.0 | 90 | 0.4415 | |
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| 0.468 | 16.0 | 96 | 0.4325 | |
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| 0.4442 | 17.0 | 102 | 0.4200 | |
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| 0.4214 | 18.0 | 108 | 0.4241 | |
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| 0.4115 | 19.0 | 114 | 0.3691 | |
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| 0.3885 | 20.0 | 120 | 0.3460 | |
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| 0.3641 | 21.0 | 126 | 0.3261 | |
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| 0.3445 | 22.0 | 132 | 0.2990 | |
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| 0.3198 | 23.0 | 138 | 0.2776 | |
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| 0.3043 | 24.0 | 144 | 0.2610 | |
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| 0.2885 | 25.0 | 150 | 0.2424 | |
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| 0.2709 | 26.0 | 156 | 0.2312 | |
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| 0.2537 | 27.0 | 162 | 0.2321 | |
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| 0.2475 | 28.0 | 168 | 0.2040 | |
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| 0.231 | 29.0 | 174 | 0.1949 | |
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| 0.2228 | 30.0 | 180 | 0.1797 | |
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| 0.2015 | 31.0 | 186 | 0.1713 | |
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| 0.202 | 32.0 | 192 | 0.1616 | |
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| 0.1793 | 33.0 | 198 | 0.1583 | |
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| 0.1849 | 34.0 | 204 | 0.1512 | |
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| 0.1726 | 35.0 | 210 | 0.1464 | |
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| 0.1703 | 36.0 | 216 | 0.1451 | |
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| 0.1611 | 37.0 | 222 | 0.1394 | |
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| 0.166 | 38.0 | 228 | 0.1353 | |
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| 0.1595 | 39.0 | 234 | 0.1326 | |
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| 0.1526 | 40.0 | 240 | 0.1318 | |
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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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