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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: 1.0657 |
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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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| 3.3733 | 1.0 | 6 | 2.7350 | |
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| 2.3614 | 2.0 | 12 | 1.9851 | |
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| 1.8438 | 3.0 | 18 | 1.7312 | |
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| 1.6535 | 4.0 | 24 | 1.6088 | |
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| 1.556 | 5.0 | 30 | 1.5621 | |
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| 1.5454 | 6.0 | 36 | 1.5615 | |
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| 1.5344 | 7.0 | 42 | 1.5509 | |
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| 1.5163 | 8.0 | 48 | 1.5509 | |
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| 1.5795 | 9.0 | 54 | 1.5492 | |
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| 1.519 | 10.0 | 60 | 1.5516 | |
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| 1.5289 | 11.0 | 66 | 1.5473 | |
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| 1.5264 | 12.0 | 72 | 1.5323 | |
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| 1.5076 | 13.0 | 78 | 1.5388 | |
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| 1.5205 | 14.0 | 84 | 1.5447 | |
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| 1.5105 | 15.0 | 90 | 1.5423 | |
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| 1.498 | 16.0 | 96 | 1.4954 | |
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| 1.4573 | 17.0 | 102 | 1.5017 | |
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| 1.4452 | 18.0 | 108 | 1.5393 | |
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| 1.4651 | 19.0 | 114 | 1.5054 | |
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| 1.4528 | 20.0 | 120 | 1.4949 | |
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| 1.45 | 21.0 | 126 | 1.6039 | |
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| 1.4467 | 22.0 | 132 | 1.4438 | |
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| 1.4036 | 23.0 | 138 | 1.4237 | |
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| 1.3715 | 24.0 | 144 | 1.3951 | |
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| 1.3506 | 25.0 | 150 | 1.3801 | |
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| 1.3416 | 26.0 | 156 | 1.3267 | |
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| 1.3117 | 27.0 | 162 | 1.3218 | |
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| 1.276 | 28.0 | 168 | 1.2940 | |
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| 1.2426 | 29.0 | 174 | 1.2387 | |
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| 1.2274 | 30.0 | 180 | 1.2127 | |
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| 1.2014 | 31.0 | 186 | 1.1931 | |
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| 1.1727 | 32.0 | 192 | 1.1761 | |
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| 1.1874 | 33.0 | 198 | 1.1635 | |
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| 1.1474 | 34.0 | 204 | 1.1329 | |
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| 1.1365 | 35.0 | 210 | 1.1083 | |
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| 1.138 | 36.0 | 216 | 1.0891 | |
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| 1.1015 | 37.0 | 222 | 1.0833 | |
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| 1.0828 | 38.0 | 228 | 1.0779 | |
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| 1.0941 | 39.0 | 234 | 1.0689 | |
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| 1.0738 | 40.0 | 240 | 1.0657 | |
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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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