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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: 0.0094 |
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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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| 2.9219 | 1.0 | 6 | 2.2235 | |
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| 1.9996 | 2.0 | 12 | 1.6925 | |
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| 1.4545 | 3.0 | 18 | 1.1007 | |
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| 0.9701 | 4.0 | 24 | 0.8044 | |
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| 0.7563 | 5.0 | 30 | 0.6572 | |
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| 0.5984 | 6.0 | 36 | 0.6227 | |
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| 0.5377 | 7.0 | 42 | 0.4585 | |
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| 0.442 | 8.0 | 48 | 0.3971 | |
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| 0.375 | 9.0 | 54 | 0.3378 | |
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| 0.3181 | 10.0 | 60 | 0.2967 | |
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| 0.2961 | 11.0 | 66 | 0.2787 | |
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| 0.2671 | 12.0 | 72 | 0.2398 | |
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| 0.2469 | 13.0 | 78 | 0.2102 | |
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| 0.2154 | 14.0 | 84 | 0.2098 | |
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| 0.2032 | 15.0 | 90 | 0.1873 | |
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| 0.1822 | 16.0 | 96 | 0.1632 | |
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| 0.1658 | 17.0 | 102 | 0.1475 | |
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| 0.1575 | 18.0 | 108 | 0.1309 | |
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| 0.1424 | 19.0 | 114 | 0.1175 | |
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| 0.1256 | 20.0 | 120 | 0.0999 | |
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| 0.1027 | 21.0 | 126 | 0.0867 | |
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| 0.0968 | 22.0 | 132 | 0.0781 | |
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| 0.0772 | 23.0 | 138 | 0.0648 | |
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| 0.0703 | 24.0 | 144 | 0.0522 | |
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| 0.0591 | 25.0 | 150 | 0.0427 | |
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| 0.0531 | 26.0 | 156 | 0.0322 | |
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| 0.0465 | 27.0 | 162 | 0.0296 | |
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| 0.0486 | 28.0 | 168 | 0.0284 | |
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| 0.0392 | 29.0 | 174 | 0.0280 | |
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| 0.0333 | 30.0 | 180 | 0.0264 | |
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| 0.0327 | 31.0 | 186 | 0.0172 | |
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| 0.0274 | 32.0 | 192 | 0.0175 | |
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| 0.0251 | 33.0 | 198 | 0.0149 | |
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| 0.0236 | 34.0 | 204 | 0.0143 | |
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| 0.0211 | 35.0 | 210 | 0.0115 | |
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| 0.0197 | 36.0 | 216 | 0.0106 | |
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| 0.0182 | 37.0 | 222 | 0.0111 | |
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| 0.0164 | 38.0 | 228 | 0.0105 | |
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| 0.0172 | 39.0 | 234 | 0.0097 | |
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| 0.0162 | 40.0 | 240 | 0.0094 | |
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### Framework versions |
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- Transformers 4.45.0 |
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- Pytorch 2.5.1+cu124 |
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- Datasets 3.3.2 |
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- Tokenizers 0.20.3 |
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