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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: 0.2454 |
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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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| 2.9842 | 1.0 | 6 | 2.2874 | |
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| 2.0465 | 2.0 | 12 | 1.7769 | |
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| 1.5772 | 3.0 | 18 | 1.3812 | |
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| 1.3006 | 4.0 | 24 | 1.1717 | |
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| 1.0791 | 5.0 | 30 | 0.9973 | |
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| 0.9229 | 6.0 | 36 | 0.9593 | |
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| 0.8693 | 7.0 | 42 | 0.8263 | |
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| 0.7761 | 8.0 | 48 | 0.7712 | |
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| 0.7538 | 9.0 | 54 | 0.7099 | |
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| 0.6978 | 10.0 | 60 | 0.6758 | |
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| 0.6444 | 11.0 | 66 | 0.6319 | |
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| 0.6149 | 12.0 | 72 | 0.6014 | |
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| 0.5944 | 13.0 | 78 | 0.6130 | |
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| 0.5737 | 14.0 | 84 | 0.6018 | |
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| 0.5763 | 15.0 | 90 | 0.5680 | |
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| 0.5335 | 16.0 | 96 | 0.5525 | |
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| 0.5281 | 17.0 | 102 | 0.5220 | |
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| 0.4979 | 18.0 | 108 | 0.4794 | |
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| 0.4668 | 19.0 | 114 | 0.4779 | |
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| 0.4612 | 20.0 | 120 | 0.4558 | |
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| 0.4527 | 21.0 | 126 | 0.4302 | |
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| 0.4214 | 22.0 | 132 | 0.4414 | |
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| 0.4221 | 23.0 | 138 | 0.4328 | |
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| 0.4271 | 24.0 | 144 | 0.4047 | |
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| 0.4004 | 25.0 | 150 | 0.3844 | |
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| 0.3744 | 26.0 | 156 | 0.3687 | |
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| 0.3655 | 27.0 | 162 | 0.3484 | |
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| 0.3312 | 28.0 | 168 | 0.3504 | |
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| 0.3473 | 29.0 | 174 | 0.3289 | |
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| 0.3368 | 30.0 | 180 | 0.3246 | |
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| 0.3171 | 31.0 | 186 | 0.3189 | |
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| 0.3205 | 32.0 | 192 | 0.2958 | |
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| 0.3108 | 33.0 | 198 | 0.2881 | |
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| 0.2943 | 34.0 | 204 | 0.2756 | |
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| 0.2926 | 35.0 | 210 | 0.2699 | |
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| 0.2803 | 36.0 | 216 | 0.2594 | |
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| 0.2794 | 37.0 | 222 | 0.2539 | |
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| 0.2826 | 38.0 | 228 | 0.2501 | |
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| 0.272 | 39.0 | 234 | 0.2475 | |
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| 0.2576 | 40.0 | 240 | 0.2454 | |
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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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