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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: 0.7094 |
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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: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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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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| 3.645 | 1.0 | 6 | 3.1423 | |
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| 2.6617 | 2.0 | 12 | 2.2004 | |
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| 1.9491 | 3.0 | 18 | 1.7518 | |
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| 1.6288 | 4.0 | 24 | 1.6348 | |
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| 1.5541 | 5.0 | 30 | 1.5475 | |
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| 1.538 | 6.0 | 36 | 1.9365 | |
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| 1.6453 | 7.0 | 42 | 1.5644 | |
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| 1.5197 | 8.0 | 48 | 1.5235 | |
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| 1.4557 | 9.0 | 54 | 1.4558 | |
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| 1.3767 | 10.0 | 60 | 1.4314 | |
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| 1.3545 | 11.0 | 66 | 1.3279 | |
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| 1.288 | 12.0 | 72 | 1.2356 | |
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| 1.227 | 13.0 | 78 | 1.3249 | |
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| 1.2531 | 14.0 | 84 | 1.2027 | |
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| 1.1426 | 15.0 | 90 | 1.1148 | |
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| 1.0918 | 16.0 | 96 | 1.1311 | |
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| 1.0839 | 17.0 | 102 | 1.1813 | |
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| 1.0836 | 18.0 | 108 | 1.0659 | |
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| 1.0585 | 19.0 | 114 | 1.0008 | |
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| 0.9926 | 20.0 | 120 | 0.9494 | |
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| 0.9478 | 21.0 | 126 | 0.9661 | |
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| 0.9775 | 22.0 | 132 | 0.9673 | |
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| 0.934 | 23.0 | 138 | 0.9720 | |
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| 0.924 | 24.0 | 144 | 0.9773 | |
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| 0.9248 | 25.0 | 150 | 0.9146 | |
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| 0.9067 | 26.0 | 156 | 0.8718 | |
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| 0.8721 | 27.0 | 162 | 0.8443 | |
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| 0.8469 | 28.0 | 168 | 0.8218 | |
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| 0.8193 | 29.0 | 174 | 0.8011 | |
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| 0.8128 | 30.0 | 180 | 0.7859 | |
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| 0.8052 | 31.0 | 186 | 0.7834 | |
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| 0.7991 | 32.0 | 192 | 0.7729 | |
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| 0.7989 | 33.0 | 198 | 0.7604 | |
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| 0.8723 | 34.0 | 204 | 0.7481 | |
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| 0.7696 | 35.0 | 210 | 0.7421 | |
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| 0.7635 | 36.0 | 216 | 0.7335 | |
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| 0.7615 | 37.0 | 222 | 0.7248 | |
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| 0.7523 | 38.0 | 228 | 0.7232 | |
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| 0.7501 | 39.0 | 234 | 0.7160 | |
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| 0.7662 | 40.0 | 240 | 0.7094 | |
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### Framework versions |
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- Transformers 4.48.3 |
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- Pytorch 2.5.1+cu124 |
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- Datasets 3.3.2 |
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- Tokenizers 0.21.0 |
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