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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: 0.0085 |
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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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| 0.9669 | 1.0 | 6 | 0.6731 | |
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| 0.4986 | 2.0 | 12 | 0.3548 | |
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| 0.3213 | 3.0 | 18 | 0.2928 | |
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| 0.2867 | 4.0 | 24 | 0.2126 | |
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| 0.2162 | 5.0 | 30 | 0.1518 | |
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| 0.167 | 6.0 | 36 | 0.1237 | |
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| 0.1443 | 7.0 | 42 | 0.0969 | |
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| 0.1235 | 8.0 | 48 | 0.0684 | |
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| 0.1002 | 9.0 | 54 | 0.0610 | |
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| 0.0928 | 10.0 | 60 | 0.0616 | |
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| 0.0843 | 11.0 | 66 | 0.0507 | |
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| 0.0737 | 12.0 | 72 | 0.0435 | |
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| 0.0606 | 13.0 | 78 | 0.0387 | |
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| 0.0583 | 14.0 | 84 | 0.0363 | |
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| 0.0529 | 15.0 | 90 | 0.0278 | |
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| 0.0515 | 16.0 | 96 | 0.0267 | |
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| 0.0539 | 17.0 | 102 | 0.0263 | |
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| 0.0514 | 18.0 | 108 | 0.0312 | |
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| 0.0498 | 19.0 | 114 | 0.0248 | |
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| 0.0405 | 20.0 | 120 | 0.0252 | |
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| 0.0376 | 21.0 | 126 | 0.0242 | |
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| 0.0417 | 22.0 | 132 | 0.0279 | |
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| 0.0361 | 23.0 | 138 | 0.0219 | |
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| 0.0327 | 24.0 | 144 | 0.0152 | |
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| 0.0288 | 25.0 | 150 | 0.0146 | |
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| 0.0253 | 26.0 | 156 | 0.0162 | |
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| 0.0223 | 27.0 | 162 | 0.0140 | |
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| 0.0207 | 28.0 | 168 | 0.0118 | |
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| 0.0198 | 29.0 | 174 | 0.0108 | |
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| 0.0191 | 30.0 | 180 | 0.0109 | |
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| 0.0172 | 31.0 | 186 | 0.0096 | |
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| 0.0165 | 32.0 | 192 | 0.0093 | |
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| 0.0153 | 33.0 | 198 | 0.0091 | |
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| 0.0156 | 34.0 | 204 | 0.0092 | |
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| 0.0159 | 35.0 | 210 | 0.0092 | |
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| 0.0153 | 36.0 | 216 | 0.0088 | |
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| 0.0157 | 37.0 | 222 | 0.0085 | |
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| 0.0149 | 38.0 | 228 | 0.0084 | |
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| 0.0135 | 39.0 | 234 | 0.0086 | |
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| 0.0135 | 40.0 | 240 | 0.0085 | |
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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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