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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: 0.5972 |
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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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| 3.7046 | 1.0 | 6 | 3.1566 | |
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| 2.7296 | 2.0 | 12 | 2.2354 | |
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| 1.97 | 3.0 | 18 | 1.7402 | |
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| 1.6522 | 4.0 | 24 | 1.6050 | |
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| 1.5915 | 5.0 | 30 | 1.5117 | |
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| 1.497 | 6.0 | 36 | 1.4859 | |
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| 1.4994 | 7.0 | 42 | 1.4515 | |
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| 1.4372 | 8.0 | 48 | 1.4207 | |
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| 1.4099 | 9.0 | 54 | 1.3809 | |
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| 1.37 | 10.0 | 60 | 1.3981 | |
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| 1.3361 | 11.0 | 66 | 1.2905 | |
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| 1.2942 | 12.0 | 72 | 1.2986 | |
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| 1.2437 | 13.0 | 78 | 1.2145 | |
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| 1.18 | 14.0 | 84 | 1.1069 | |
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| 1.0947 | 15.0 | 90 | 1.0619 | |
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| 1.0435 | 16.0 | 96 | 0.9873 | |
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| 0.9961 | 17.0 | 102 | 0.9470 | |
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| 0.9408 | 18.0 | 108 | 0.9126 | |
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| 0.9119 | 19.0 | 114 | 0.9238 | |
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| 0.9158 | 20.0 | 120 | 0.8937 | |
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| 0.8981 | 21.0 | 126 | 0.8486 | |
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| 0.862 | 22.0 | 132 | 0.8756 | |
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| 0.8577 | 23.0 | 138 | 0.8344 | |
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| 0.8243 | 24.0 | 144 | 0.8168 | |
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| 0.8018 | 25.0 | 150 | 0.7711 | |
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| 0.7861 | 26.0 | 156 | 0.7986 | |
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| 0.7838 | 27.0 | 162 | 0.7765 | |
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| 0.7753 | 28.0 | 168 | 0.7504 | |
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| 0.7602 | 29.0 | 174 | 0.7205 | |
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| 0.7215 | 30.0 | 180 | 0.7216 | |
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| 0.7148 | 31.0 | 186 | 0.6973 | |
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| 0.7082 | 32.0 | 192 | 0.6753 | |
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| 0.7017 | 33.0 | 198 | 0.6480 | |
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| 0.6784 | 34.0 | 204 | 0.6394 | |
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| 0.6702 | 35.0 | 210 | 0.6333 | |
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| 0.6663 | 36.0 | 216 | 0.6221 | |
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| 0.6415 | 37.0 | 222 | 0.6133 | |
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| 0.6377 | 38.0 | 228 | 0.6065 | |
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| 0.6291 | 39.0 | 234 | 0.6049 | |
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| 0.6288 | 40.0 | 240 | 0.5972 | |
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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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