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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: 0.0086 |
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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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| 2.7015 | 1.0 | 6 | 2.0207 | |
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| 1.7126 | 2.0 | 12 | 1.2868 | |
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| 1.1107 | 3.0 | 18 | 0.9127 | |
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| 0.8465 | 4.0 | 24 | 0.7797 | |
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| 0.749 | 5.0 | 30 | 0.7586 | |
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| 0.71 | 6.0 | 36 | 0.6566 | |
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| 0.6332 | 7.0 | 42 | 0.6026 | |
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| 0.5757 | 8.0 | 48 | 0.5232 | |
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| 0.5054 | 9.0 | 54 | 0.4744 | |
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| 0.4469 | 10.0 | 60 | 0.3915 | |
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| 0.3736 | 11.0 | 66 | 0.3214 | |
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| 0.314 | 12.0 | 72 | 0.2855 | |
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| 0.282 | 13.0 | 78 | 0.2260 | |
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| 0.2234 | 14.0 | 84 | 0.2077 | |
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| 0.2157 | 15.0 | 90 | 0.1623 | |
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| 0.1647 | 16.0 | 96 | 0.1344 | |
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| 0.1505 | 17.0 | 102 | 0.1246 | |
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| 0.1342 | 18.0 | 108 | 0.1086 | |
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| 0.1104 | 19.0 | 114 | 0.0998 | |
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| 0.098 | 20.0 | 120 | 0.0788 | |
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| 0.0829 | 21.0 | 126 | 0.0575 | |
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| 0.0706 | 22.0 | 132 | 0.0496 | |
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| 0.0639 | 23.0 | 138 | 0.0425 | |
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| 0.0544 | 24.0 | 144 | 0.0352 | |
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| 0.0478 | 25.0 | 150 | 0.0316 | |
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| 0.0435 | 26.0 | 156 | 0.0255 | |
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| 0.0368 | 27.0 | 162 | 0.0237 | |
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| 0.0314 | 28.0 | 168 | 0.0215 | |
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| 0.0313 | 29.0 | 174 | 0.0175 | |
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| 0.0281 | 30.0 | 180 | 0.0157 | |
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| 0.0319 | 31.0 | 186 | 0.0132 | |
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| 0.0235 | 32.0 | 192 | 0.0117 | |
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| 0.0207 | 33.0 | 198 | 0.0112 | |
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| 0.0178 | 34.0 | 204 | 0.0104 | |
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| 0.0184 | 35.0 | 210 | 0.0098 | |
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| 0.0176 | 36.0 | 216 | 0.0092 | |
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| 0.0161 | 37.0 | 222 | 0.0092 | |
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| 0.0167 | 38.0 | 228 | 0.0090 | |
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| 0.0154 | 39.0 | 234 | 0.0087 | |
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| 0.0155 | 40.0 | 240 | 0.0086 | |
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### Framework versions |
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- Transformers 4.38.2 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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