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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: 0.7503 |
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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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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 3.4058 | 1.0 | 6 | 2.7645 | |
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| 2.3687 | 2.0 | 12 | 2.0460 | |
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| 1.8458 | 3.0 | 18 | 1.6800 | |
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| 1.6366 | 4.0 | 24 | 1.5984 | |
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| 1.5803 | 5.0 | 30 | 1.5635 | |
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| 1.5446 | 6.0 | 36 | 1.5391 | |
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| 1.5226 | 7.0 | 42 | 1.5339 | |
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| 1.5374 | 8.0 | 48 | 1.5383 | |
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| 1.5543 | 9.0 | 54 | 1.5519 | |
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| 1.5328 | 10.0 | 60 | 1.6631 | |
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| 1.5779 | 11.0 | 66 | 1.5271 | |
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| 1.5112 | 12.0 | 72 | 1.5244 | |
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| 1.5213 | 13.0 | 78 | 1.4900 | |
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| 1.5005 | 14.0 | 84 | 1.4802 | |
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| 1.4843 | 15.0 | 90 | 1.4984 | |
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| 1.4506 | 16.0 | 96 | 1.4163 | |
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| 1.4083 | 17.0 | 102 | 1.3781 | |
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| 1.3669 | 18.0 | 108 | 1.3816 | |
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| 1.3516 | 19.0 | 114 | 1.2972 | |
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| 1.293 | 20.0 | 120 | 1.2405 | |
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| 1.2 | 21.0 | 126 | 1.1689 | |
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| 1.1558 | 22.0 | 132 | 1.1402 | |
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| 1.1391 | 23.0 | 138 | 1.0921 | |
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| 1.0899 | 24.0 | 144 | 1.0230 | |
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| 1.0309 | 25.0 | 150 | 1.0130 | |
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| 1.0078 | 26.0 | 156 | 0.9680 | |
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| 0.987 | 27.0 | 162 | 0.9480 | |
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| 0.9573 | 28.0 | 168 | 0.9060 | |
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| 0.9286 | 29.0 | 174 | 0.8876 | |
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| 0.9278 | 30.0 | 180 | 0.8956 | |
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| 0.9261 | 31.0 | 186 | 0.8770 | |
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| 0.8869 | 32.0 | 192 | 0.8407 | |
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| 0.8674 | 33.0 | 198 | 0.8311 | |
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| 0.8522 | 34.0 | 204 | 0.8045 | |
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| 0.8397 | 35.0 | 210 | 0.7907 | |
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| 0.8271 | 36.0 | 216 | 0.7811 | |
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| 0.8157 | 37.0 | 222 | 0.7684 | |
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| 0.8234 | 38.0 | 228 | 0.7593 | |
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| 0.7975 | 39.0 | 234 | 0.7524 | |
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| 0.8024 | 40.0 | 240 | 0.7503 | |
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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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