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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: 0.6527 |
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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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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 3.6778 | 1.0 | 6 | 3.1191 | |
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| 2.7094 | 2.0 | 12 | 2.1966 | |
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| 1.9597 | 3.0 | 18 | 1.7446 | |
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| 1.7331 | 4.0 | 24 | 1.6583 | |
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| 1.5938 | 5.0 | 30 | 1.6425 | |
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| 1.5338 | 6.0 | 36 | 1.5592 | |
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| 1.5077 | 7.0 | 42 | 1.5055 | |
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| 1.4896 | 8.0 | 48 | 1.4880 | |
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| 1.4419 | 9.0 | 54 | 1.4727 | |
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| 1.4062 | 10.0 | 60 | 1.3960 | |
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| 1.3459 | 11.0 | 66 | 1.3129 | |
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| 1.2961 | 12.0 | 72 | 1.3037 | |
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| 1.2268 | 13.0 | 78 | 1.2964 | |
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| 1.2251 | 14.0 | 84 | 1.1677 | |
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| 1.1559 | 15.0 | 90 | 1.1312 | |
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| 1.1157 | 16.0 | 96 | 1.1714 | |
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| 1.1385 | 17.0 | 102 | 1.1348 | |
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| 1.0996 | 18.0 | 108 | 1.1113 | |
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| 1.0407 | 19.0 | 114 | 0.9871 | |
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| 0.9734 | 20.0 | 120 | 0.9324 | |
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| 0.9512 | 21.0 | 126 | 0.9743 | |
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| 0.951 | 22.0 | 132 | 0.9441 | |
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| 0.917 | 23.0 | 138 | 0.8909 | |
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| 0.8726 | 24.0 | 144 | 0.9193 | |
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| 0.8937 | 25.0 | 150 | 0.8686 | |
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| 0.8351 | 26.0 | 156 | 0.8182 | |
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| 0.8397 | 27.0 | 162 | 0.7957 | |
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| 0.8148 | 28.0 | 168 | 0.7851 | |
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| 0.7866 | 29.0 | 174 | 0.7707 | |
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| 0.7579 | 30.0 | 180 | 0.7610 | |
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| 0.7516 | 31.0 | 186 | 0.7259 | |
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| 0.734 | 32.0 | 192 | 0.7193 | |
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| 0.7375 | 33.0 | 198 | 0.7392 | |
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| 0.7284 | 34.0 | 204 | 0.7019 | |
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| 0.7283 | 35.0 | 210 | 0.6881 | |
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| 0.6968 | 36.0 | 216 | 0.6745 | |
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| 0.69 | 37.0 | 222 | 0.6672 | |
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| 0.6877 | 38.0 | 228 | 0.6606 | |
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| 0.6741 | 39.0 | 234 | 0.6575 | |
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| 0.6741 | 40.0 | 240 | 0.6527 | |
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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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