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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: 0.1171 |
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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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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 2.9048 | 1.0 | 12 | 2.1270 | |
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| 1.9316 | 2.0 | 24 | 1.6532 | |
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| 1.4738 | 3.0 | 36 | 1.2096 | |
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| 0.9811 | 4.0 | 48 | 0.6866 | |
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| 0.6247 | 5.0 | 60 | 0.5666 | |
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| 0.5433 | 6.0 | 72 | 0.5106 | |
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| 0.4772 | 7.0 | 84 | 0.4398 | |
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| 0.4271 | 8.0 | 96 | 0.3991 | |
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| 0.3906 | 9.0 | 108 | 0.3674 | |
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| 0.3565 | 10.0 | 120 | 0.3397 | |
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| 0.3301 | 11.0 | 132 | 0.2913 | |
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| 0.2869 | 12.0 | 144 | 0.2633 | |
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| 0.2616 | 13.0 | 156 | 0.2313 | |
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| 0.2375 | 14.0 | 168 | 0.2168 | |
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| 0.2218 | 15.0 | 180 | 0.1979 | |
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| 0.2127 | 16.0 | 192 | 0.1937 | |
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| 0.2008 | 17.0 | 204 | 0.1870 | |
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| 0.1933 | 18.0 | 216 | 0.1886 | |
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| 0.1857 | 19.0 | 228 | 0.1726 | |
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| 0.1801 | 20.0 | 240 | 0.1682 | |
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| 0.1722 | 21.0 | 252 | 0.1655 | |
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| 0.168 | 22.0 | 264 | 0.1604 | |
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| 0.1644 | 23.0 | 276 | 0.1530 | |
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| 0.1644 | 24.0 | 288 | 0.1574 | |
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| 0.1582 | 25.0 | 300 | 0.1477 | |
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| 0.1551 | 26.0 | 312 | 0.1460 | |
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| 0.1523 | 27.0 | 324 | 0.1458 | |
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| 0.1471 | 28.0 | 336 | 0.1365 | |
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| 0.1463 | 29.0 | 348 | 0.1385 | |
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| 0.1393 | 30.0 | 360 | 0.1364 | |
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| 0.1355 | 31.0 | 372 | 0.1324 | |
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| 0.134 | 32.0 | 384 | 0.1309 | |
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| 0.1315 | 33.0 | 396 | 0.1274 | |
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| 0.1317 | 34.0 | 408 | 0.1243 | |
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| 0.1266 | 35.0 | 420 | 0.1223 | |
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| 0.1248 | 36.0 | 432 | 0.1206 | |
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| 0.1232 | 37.0 | 444 | 0.1211 | |
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| 0.1217 | 38.0 | 456 | 0.1178 | |
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| 0.1208 | 39.0 | 468 | 0.1166 | |
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| 0.1208 | 40.0 | 480 | 0.1171 | |
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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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