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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: 0.1417 |
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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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| 2.9571 | 1.0 | 6 | 2.2956 | |
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| 2.0465 | 2.0 | 12 | 1.7293 | |
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| 1.5363 | 3.0 | 18 | 1.2901 | |
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| 1.2139 | 4.0 | 24 | 1.0866 | |
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| 1.0369 | 5.0 | 30 | 0.9429 | |
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| 0.9144 | 6.0 | 36 | 0.8284 | |
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| 0.8202 | 7.0 | 42 | 0.7701 | |
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| 0.7591 | 8.0 | 48 | 0.7184 | |
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| 0.7075 | 9.0 | 54 | 0.6474 | |
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| 0.6481 | 10.0 | 60 | 0.6074 | |
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| 0.611 | 11.0 | 66 | 0.5786 | |
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| 0.5714 | 12.0 | 72 | 0.5192 | |
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| 0.5412 | 13.0 | 78 | 0.4924 | |
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| 0.5092 | 14.0 | 84 | 0.5077 | |
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| 0.5118 | 15.0 | 90 | 0.4989 | |
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| 0.4982 | 16.0 | 96 | 0.4349 | |
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| 0.4512 | 17.0 | 102 | 0.4090 | |
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| 0.4176 | 18.0 | 108 | 0.3868 | |
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| 0.395 | 19.0 | 114 | 0.3586 | |
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| 0.3754 | 20.0 | 120 | 0.3666 | |
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| 0.3561 | 21.0 | 126 | 0.3182 | |
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| 0.3284 | 22.0 | 132 | 0.2906 | |
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| 0.3123 | 23.0 | 138 | 0.2981 | |
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| 0.3026 | 24.0 | 144 | 0.2740 | |
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| 0.2809 | 25.0 | 150 | 0.2448 | |
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| 0.2669 | 26.0 | 156 | 0.2321 | |
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| 0.257 | 27.0 | 162 | 0.2179 | |
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| 0.2349 | 28.0 | 168 | 0.2110 | |
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| 0.2205 | 29.0 | 174 | 0.1969 | |
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| 0.2142 | 30.0 | 180 | 0.1894 | |
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| 0.2116 | 31.0 | 186 | 0.1819 | |
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| 0.195 | 32.0 | 192 | 0.1747 | |
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| 0.1884 | 33.0 | 198 | 0.1668 | |
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| 0.1819 | 34.0 | 204 | 0.1615 | |
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| 0.1741 | 35.0 | 210 | 0.1541 | |
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| 0.172 | 36.0 | 216 | 0.1524 | |
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| 0.1726 | 37.0 | 222 | 0.1471 | |
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| 0.1555 | 38.0 | 228 | 0.1458 | |
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| 0.1606 | 39.0 | 234 | 0.1430 | |
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| 0.1604 | 40.0 | 240 | 0.1417 | |
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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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