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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: 0.6587 |
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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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| 3.3715 | 1.0 | 6 | 2.7668 | |
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| 2.4459 | 2.0 | 12 | 2.0165 | |
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| 1.8589 | 3.0 | 18 | 1.7392 | |
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| 1.7744 | 4.0 | 24 | 1.6714 | |
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| 1.6018 | 5.0 | 30 | 1.5897 | |
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| 1.4921 | 6.0 | 36 | 1.5386 | |
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| 1.4816 | 7.0 | 42 | 1.4612 | |
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| 1.4355 | 8.0 | 48 | 1.4503 | |
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| 1.33 | 9.0 | 54 | 1.3248 | |
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| 1.2827 | 10.0 | 60 | 1.2280 | |
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| 1.234 | 11.0 | 66 | 1.2248 | |
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| 1.2229 | 12.0 | 72 | 1.3745 | |
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| 1.2522 | 13.0 | 78 | 1.1725 | |
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| 1.1299 | 14.0 | 84 | 1.0781 | |
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| 1.0669 | 15.0 | 90 | 1.0417 | |
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| 1.0125 | 16.0 | 96 | 1.0053 | |
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| 0.9977 | 17.0 | 102 | 1.0263 | |
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| 1.0611 | 18.0 | 108 | 1.0528 | |
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| 1.0357 | 19.0 | 114 | 0.9557 | |
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| 0.927 | 20.0 | 120 | 0.9334 | |
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| 0.9075 | 21.0 | 126 | 0.8948 | |
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| 0.8795 | 22.0 | 132 | 0.9888 | |
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| 0.9473 | 23.0 | 138 | 0.9332 | |
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| 0.8718 | 24.0 | 144 | 0.8529 | |
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| 0.8661 | 25.0 | 150 | 0.8421 | |
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| 0.8381 | 26.0 | 156 | 0.8280 | |
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| 0.7939 | 27.0 | 162 | 0.7921 | |
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| 0.8426 | 28.0 | 168 | 0.7751 | |
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| 0.7897 | 29.0 | 174 | 0.7592 | |
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| 0.7687 | 30.0 | 180 | 0.7575 | |
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| 0.77 | 31.0 | 186 | 0.7346 | |
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| 0.7479 | 32.0 | 192 | 0.7266 | |
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| 0.7247 | 33.0 | 198 | 0.7156 | |
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| 0.7278 | 34.0 | 204 | 0.7154 | |
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| 0.7241 | 35.0 | 210 | 0.6853 | |
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| 0.7037 | 36.0 | 216 | 0.6897 | |
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| 0.6949 | 37.0 | 222 | 0.6697 | |
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| 0.7135 | 38.0 | 228 | 0.6661 | |
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| 0.6864 | 39.0 | 234 | 0.6619 | |
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| 0.6812 | 40.0 | 240 | 0.6587 | |
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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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