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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: 0.0923 |
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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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| 3.0524 | 1.0 | 6 | 2.3364 | |
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| 2.0601 | 2.0 | 12 | 1.7532 | |
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| 1.5868 | 3.0 | 18 | 1.3439 | |
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| 1.2198 | 4.0 | 24 | 1.0697 | |
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| 1.0324 | 5.0 | 30 | 0.9496 | |
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| 0.8954 | 6.0 | 36 | 0.8209 | |
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| 0.7853 | 7.0 | 42 | 0.7529 | |
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| 0.7118 | 8.0 | 48 | 0.6709 | |
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| 0.6574 | 9.0 | 54 | 0.6452 | |
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| 0.6368 | 10.0 | 60 | 0.5870 | |
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| 0.5746 | 11.0 | 66 | 0.5092 | |
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| 0.5092 | 12.0 | 72 | 0.4923 | |
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| 0.4829 | 13.0 | 78 | 0.4596 | |
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| 0.4542 | 14.0 | 84 | 0.4221 | |
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| 0.4286 | 15.0 | 90 | 0.3805 | |
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| 0.3987 | 16.0 | 96 | 0.3707 | |
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| 0.3704 | 17.0 | 102 | 0.3424 | |
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| 0.3639 | 18.0 | 108 | 0.3204 | |
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| 0.3297 | 19.0 | 114 | 0.2918 | |
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| 0.3085 | 20.0 | 120 | 0.2683 | |
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| 0.2814 | 21.0 | 126 | 0.2524 | |
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| 0.2667 | 22.0 | 132 | 0.2489 | |
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| 0.2593 | 23.0 | 138 | 0.2238 | |
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| 0.2427 | 24.0 | 144 | 0.2168 | |
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| 0.2318 | 25.0 | 150 | 0.2048 | |
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| 0.226 | 26.0 | 156 | 0.2018 | |
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| 0.2085 | 27.0 | 162 | 0.1860 | |
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| 0.1976 | 28.0 | 168 | 0.1800 | |
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| 0.1928 | 29.0 | 174 | 0.1621 | |
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| 0.1814 | 30.0 | 180 | 0.1551 | |
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| 0.1758 | 31.0 | 186 | 0.1398 | |
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| 0.1598 | 32.0 | 192 | 0.1291 | |
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| 0.1541 | 33.0 | 198 | 0.1206 | |
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| 0.1411 | 34.0 | 204 | 0.1097 | |
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| 0.1371 | 35.0 | 210 | 0.1042 | |
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| 0.1299 | 36.0 | 216 | 0.1015 | |
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| 0.1273 | 37.0 | 222 | 0.0955 | |
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| 0.1214 | 38.0 | 228 | 0.0944 | |
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| 0.1161 | 39.0 | 234 | 0.0935 | |
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| 0.1188 | 40.0 | 240 | 0.0923 | |
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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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