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--- |
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library_name: transformers |
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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: 0.5857 |
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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: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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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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| 3.6713 | 1.0 | 6 | 3.1066 | |
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| 2.6657 | 2.0 | 12 | 2.1494 | |
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| 1.9445 | 3.0 | 18 | 1.7102 | |
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| 1.6766 | 4.0 | 24 | 1.5843 | |
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| 1.5675 | 5.0 | 30 | 1.5400 | |
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| 1.514 | 6.0 | 36 | 1.4790 | |
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| 1.4359 | 7.0 | 42 | 1.3848 | |
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| 1.3846 | 8.0 | 48 | 1.3430 | |
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| 1.3429 | 9.0 | 54 | 1.3113 | |
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| 1.2695 | 10.0 | 60 | 1.2591 | |
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| 1.2346 | 11.0 | 66 | 1.1202 | |
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| 1.1799 | 12.0 | 72 | 1.1988 | |
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| 1.1394 | 13.0 | 78 | 1.0635 | |
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| 1.0823 | 14.0 | 84 | 1.0404 | |
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| 1.0411 | 15.0 | 90 | 1.0058 | |
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| 1.002 | 16.0 | 96 | 0.9632 | |
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| 0.9569 | 17.0 | 102 | 0.9427 | |
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| 0.946 | 18.0 | 108 | 0.8890 | |
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| 0.9083 | 19.0 | 114 | 0.8726 | |
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| 0.8994 | 20.0 | 120 | 0.8342 | |
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| 0.8852 | 21.0 | 126 | 0.8450 | |
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| 0.8647 | 22.0 | 132 | 0.7971 | |
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| 0.8379 | 23.0 | 138 | 0.7805 | |
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| 0.8139 | 24.0 | 144 | 0.7417 | |
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| 0.7895 | 25.0 | 150 | 0.7641 | |
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| 0.8015 | 26.0 | 156 | 0.7093 | |
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| 0.7586 | 27.0 | 162 | 0.7121 | |
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| 0.7653 | 28.0 | 168 | 0.7131 | |
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| 0.7452 | 29.0 | 174 | 0.6806 | |
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| 0.7385 | 30.0 | 180 | 0.6572 | |
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| 0.7004 | 31.0 | 186 | 0.6542 | |
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| 0.6924 | 32.0 | 192 | 0.6507 | |
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| 0.6934 | 33.0 | 198 | 0.6411 | |
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| 0.6803 | 34.0 | 204 | 0.6227 | |
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| 0.6655 | 35.0 | 210 | 0.6102 | |
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| 0.657 | 36.0 | 216 | 0.6125 | |
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| 0.6514 | 37.0 | 222 | 0.5946 | |
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| 0.6528 | 38.0 | 228 | 0.5912 | |
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| 0.6493 | 39.0 | 234 | 0.5893 | |
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| 0.6398 | 40.0 | 240 | 0.5857 | |
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### Framework versions |
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- Transformers 4.48.3 |
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- Pytorch 2.5.1+cu124 |
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- Datasets 3.3.2 |
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- Tokenizers 0.21.0 |
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