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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: 0.1675 |
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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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| 2.9654 | 1.0 | 6 | 2.2731 | |
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| 2.0238 | 2.0 | 12 | 1.7268 | |
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| 1.5275 | 3.0 | 18 | 1.2838 | |
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| 1.187 | 4.0 | 24 | 1.0874 | |
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| 1.0242 | 5.0 | 30 | 0.9517 | |
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| 0.9122 | 6.0 | 36 | 0.8367 | |
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| 0.8028 | 7.0 | 42 | 0.8002 | |
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| 0.762 | 8.0 | 48 | 0.7533 | |
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| 0.6956 | 9.0 | 54 | 0.6658 | |
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| 0.6503 | 10.0 | 60 | 0.6102 | |
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| 0.6071 | 11.0 | 66 | 0.5720 | |
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| 0.5785 | 12.0 | 72 | 0.5378 | |
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| 0.5367 | 13.0 | 78 | 0.5026 | |
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| 0.5118 | 14.0 | 84 | 0.5035 | |
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| 0.4987 | 15.0 | 90 | 0.4639 | |
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| 0.4704 | 16.0 | 96 | 0.4410 | |
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| 0.441 | 17.0 | 102 | 0.4364 | |
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| 0.4407 | 18.0 | 108 | 0.4112 | |
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| 0.4173 | 19.0 | 114 | 0.3852 | |
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| 0.4001 | 20.0 | 120 | 0.3590 | |
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| 0.3669 | 21.0 | 126 | 0.3375 | |
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| 0.3402 | 22.0 | 132 | 0.3207 | |
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| 0.3276 | 23.0 | 138 | 0.3187 | |
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| 0.3205 | 24.0 | 144 | 0.2961 | |
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| 0.2985 | 25.0 | 150 | 0.2673 | |
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| 0.2897 | 26.0 | 156 | 0.2524 | |
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| 0.2611 | 27.0 | 162 | 0.2408 | |
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| 0.2597 | 28.0 | 168 | 0.2408 | |
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| 0.2523 | 29.0 | 174 | 0.2277 | |
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| 0.2385 | 30.0 | 180 | 0.2111 | |
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| 0.2269 | 31.0 | 186 | 0.2068 | |
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| 0.2272 | 32.0 | 192 | 0.2047 | |
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| 0.2174 | 33.0 | 198 | 0.1927 | |
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| 0.2097 | 34.0 | 204 | 0.1848 | |
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| 0.1966 | 35.0 | 210 | 0.1817 | |
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| 0.1894 | 36.0 | 216 | 0.1768 | |
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| 0.1939 | 37.0 | 222 | 0.1760 | |
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| 0.1884 | 38.0 | 228 | 0.1701 | |
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| 0.1863 | 39.0 | 234 | 0.1683 | |
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| 0.1824 | 40.0 | 240 | 0.1675 | |
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### Framework versions |
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- Transformers 4.37.2 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.17.1 |
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- Tokenizers 0.15.2 |
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