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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: 0.1653 |
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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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| 3.0109 | 1.0 | 6 | 2.2927 | |
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| 2.0615 | 2.0 | 12 | 1.7747 | |
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| 1.6032 | 3.0 | 18 | 1.3800 | |
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| 1.2593 | 4.0 | 24 | 1.1547 | |
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| 1.0716 | 5.0 | 30 | 0.9624 | |
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| 0.9082 | 6.0 | 36 | 0.8484 | |
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| 0.8499 | 7.0 | 42 | 0.7745 | |
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| 0.7568 | 8.0 | 48 | 0.7185 | |
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| 0.697 | 9.0 | 54 | 0.6622 | |
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| 0.6241 | 10.0 | 60 | 0.6027 | |
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| 0.5987 | 11.0 | 66 | 0.6118 | |
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| 0.5967 | 12.0 | 72 | 0.5614 | |
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| 0.5571 | 13.0 | 78 | 0.5211 | |
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| 0.5126 | 14.0 | 84 | 0.4899 | |
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| 0.4919 | 15.0 | 90 | 0.4756 | |
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| 0.4617 | 16.0 | 96 | 0.4457 | |
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| 0.4471 | 17.0 | 102 | 0.4410 | |
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| 0.4298 | 18.0 | 108 | 0.4136 | |
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| 0.4146 | 19.0 | 114 | 0.4060 | |
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| 0.395 | 20.0 | 120 | 0.3893 | |
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| 0.3749 | 21.0 | 126 | 0.3975 | |
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| 0.3747 | 22.0 | 132 | 0.3598 | |
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| 0.3559 | 23.0 | 138 | 0.3660 | |
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| 0.3465 | 24.0 | 144 | 0.3253 | |
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| 0.3257 | 25.0 | 150 | 0.3112 | |
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| 0.3085 | 26.0 | 156 | 0.2785 | |
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| 0.292 | 27.0 | 162 | 0.2639 | |
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| 0.2807 | 28.0 | 168 | 0.2507 | |
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| 0.2689 | 29.0 | 174 | 0.2342 | |
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| 0.2526 | 30.0 | 180 | 0.2241 | |
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| 0.2424 | 31.0 | 186 | 0.2149 | |
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| 0.2293 | 32.0 | 192 | 0.2103 | |
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| 0.2175 | 33.0 | 198 | 0.1970 | |
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| 0.2189 | 34.0 | 204 | 0.1867 | |
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| 0.2092 | 35.0 | 210 | 0.1831 | |
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| 0.199 | 36.0 | 216 | 0.1837 | |
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| 0.2095 | 37.0 | 222 | 0.1739 | |
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| 0.1912 | 38.0 | 228 | 0.1707 | |
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| 0.188 | 39.0 | 234 | 0.1671 | |
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| 0.1855 | 40.0 | 240 | 0.1653 | |
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### Framework versions |
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- Transformers 4.38.2 |
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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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