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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: 0.4927 |
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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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| 2.6077 | 1.0 | 41 | 2.0310 | |
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| 1.6982 | 2.0 | 82 | 1.5525 | |
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| 1.5473 | 3.0 | 123 | 1.5432 | |
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| 1.5418 | 4.0 | 164 | 1.5405 | |
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| 1.5401 | 5.0 | 205 | 1.5405 | |
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| 1.5387 | 6.0 | 246 | 1.5401 | |
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| 1.5366 | 7.0 | 287 | 1.5359 | |
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| 1.5292 | 8.0 | 328 | 1.5337 | |
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| 1.5289 | 9.0 | 369 | 1.5313 | |
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| 1.5248 | 10.0 | 410 | 1.5324 | |
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| 1.5174 | 11.0 | 451 | 1.5129 | |
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| 1.4809 | 12.0 | 492 | 1.4740 | |
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| 1.4456 | 13.0 | 533 | 1.4299 | |
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| 1.3497 | 14.0 | 574 | 1.2158 | |
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| 1.1149 | 15.0 | 615 | 0.9632 | |
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| 0.8827 | 16.0 | 656 | 0.7687 | |
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| 0.7432 | 17.0 | 697 | 0.6696 | |
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| 0.6651 | 18.0 | 738 | 0.6081 | |
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| 0.614 | 19.0 | 779 | 0.5694 | |
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| 0.5734 | 20.0 | 820 | 0.5423 | |
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| 0.5422 | 21.0 | 861 | 0.5248 | |
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| 0.5221 | 22.0 | 902 | 0.5087 | |
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| 0.5089 | 23.0 | 943 | 0.5026 | |
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| 0.4984 | 24.0 | 984 | 0.4946 | |
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| 0.4857 | 25.0 | 1025 | 0.4880 | |
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| 0.4778 | 26.0 | 1066 | 0.4881 | |
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| 0.4739 | 27.0 | 1107 | 0.4882 | |
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| 0.4698 | 28.0 | 1148 | 0.4853 | |
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| 0.4628 | 29.0 | 1189 | 0.4862 | |
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| 0.4581 | 30.0 | 1230 | 0.4849 | |
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| 0.4537 | 31.0 | 1271 | 0.4839 | |
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| 0.4504 | 32.0 | 1312 | 0.4871 | |
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| 0.4467 | 33.0 | 1353 | 0.4867 | |
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| 0.4438 | 34.0 | 1394 | 0.4886 | |
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| 0.4395 | 35.0 | 1435 | 0.4899 | |
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| 0.4362 | 36.0 | 1476 | 0.4903 | |
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| 0.4338 | 37.0 | 1517 | 0.4910 | |
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| 0.4304 | 38.0 | 1558 | 0.4913 | |
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| 0.4274 | 39.0 | 1599 | 0.4928 | |
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| 0.4252 | 40.0 | 1640 | 0.4927 | |
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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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