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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: 0.6281 |
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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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| 3.3788 | 1.0 | 6 | 2.7190 | |
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| 2.3329 | 2.0 | 12 | 1.9212 | |
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| 1.7962 | 3.0 | 18 | 1.6430 | |
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| 1.5944 | 4.0 | 24 | 1.5778 | |
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| 1.5824 | 5.0 | 30 | 1.5569 | |
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| 1.5513 | 6.0 | 36 | 1.5152 | |
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| 1.5044 | 7.0 | 42 | 1.5108 | |
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| 1.4601 | 8.0 | 48 | 1.4058 | |
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| 1.3676 | 9.0 | 54 | 1.3091 | |
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| 1.3608 | 10.0 | 60 | 1.3141 | |
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| 1.2438 | 11.0 | 66 | 1.1829 | |
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| 1.1594 | 12.0 | 72 | 1.1139 | |
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| 1.0901 | 13.0 | 78 | 1.0550 | |
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| 1.1289 | 14.0 | 84 | 1.1184 | |
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| 1.1028 | 15.0 | 90 | 0.9935 | |
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| 0.9901 | 16.0 | 96 | 1.1129 | |
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| 1.0213 | 17.0 | 102 | 0.9731 | |
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| 0.9919 | 18.0 | 108 | 0.9129 | |
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| 0.9487 | 19.0 | 114 | 0.9160 | |
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| 0.9437 | 20.0 | 120 | 0.8889 | |
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| 0.8907 | 21.0 | 126 | 0.8633 | |
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| 0.8628 | 22.0 | 132 | 0.8779 | |
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| 0.8722 | 23.0 | 138 | 0.8225 | |
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| 0.8261 | 24.0 | 144 | 0.8049 | |
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| 0.823 | 25.0 | 150 | 0.8250 | |
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| 0.8272 | 26.0 | 156 | 0.8704 | |
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| 0.8194 | 27.0 | 162 | 0.7511 | |
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| 0.7772 | 28.0 | 168 | 0.7401 | |
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| 0.7539 | 29.0 | 174 | 0.7332 | |
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| 0.7464 | 30.0 | 180 | 0.7092 | |
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| 0.7485 | 31.0 | 186 | 0.6996 | |
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| 0.7214 | 32.0 | 192 | 0.6817 | |
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| 0.6968 | 33.0 | 198 | 0.6742 | |
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| 0.6903 | 34.0 | 204 | 0.6703 | |
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| 0.6846 | 35.0 | 210 | 0.6723 | |
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| 0.6845 | 36.0 | 216 | 0.6492 | |
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| 0.6784 | 37.0 | 222 | 0.6416 | |
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| 0.672 | 38.0 | 228 | 0.6367 | |
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| 0.6639 | 39.0 | 234 | 0.6306 | |
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| 0.6682 | 40.0 | 240 | 0.6281 | |
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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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