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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: 0.0047 |
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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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| 2.7292 | 1.0 | 6 | 2.1173 | |
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| 1.7871 | 2.0 | 12 | 1.3767 | |
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| 1.1487 | 3.0 | 18 | 0.9345 | |
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| 0.8396 | 4.0 | 24 | 0.8010 | |
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| 0.741 | 5.0 | 30 | 0.6938 | |
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| 0.617 | 6.0 | 36 | 0.6118 | |
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| 0.5495 | 7.0 | 42 | 0.5396 | |
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| 0.4991 | 8.0 | 48 | 0.4896 | |
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| 0.4526 | 9.0 | 54 | 0.4333 | |
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| 0.3899 | 10.0 | 60 | 0.3730 | |
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| 0.331 | 11.0 | 66 | 0.3093 | |
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| 0.2617 | 12.0 | 72 | 0.2348 | |
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| 0.2112 | 13.0 | 78 | 0.1729 | |
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| 0.1642 | 14.0 | 84 | 0.1352 | |
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| 0.1285 | 15.0 | 90 | 0.1043 | |
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| 0.1063 | 16.0 | 96 | 0.0811 | |
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| 0.0806 | 17.0 | 102 | 0.0593 | |
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| 0.0617 | 18.0 | 108 | 0.0429 | |
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| 0.0519 | 19.0 | 114 | 0.0305 | |
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| 0.0372 | 20.0 | 120 | 0.0230 | |
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| 0.0323 | 21.0 | 126 | 0.0191 | |
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| 0.0255 | 22.0 | 132 | 0.0152 | |
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| 0.0219 | 23.0 | 138 | 0.0134 | |
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| 0.0202 | 24.0 | 144 | 0.0118 | |
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| 0.0161 | 25.0 | 150 | 0.0105 | |
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| 0.0154 | 26.0 | 156 | 0.0087 | |
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| 0.0126 | 27.0 | 162 | 0.0077 | |
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| 0.0115 | 28.0 | 168 | 0.0069 | |
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| 0.0104 | 29.0 | 174 | 0.0064 | |
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| 0.0121 | 30.0 | 180 | 0.0061 | |
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| 0.0113 | 31.0 | 186 | 0.0062 | |
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| 0.0105 | 32.0 | 192 | 0.0059 | |
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| 0.0103 | 33.0 | 198 | 0.0057 | |
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| 0.0097 | 34.0 | 204 | 0.0052 | |
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| 0.0088 | 35.0 | 210 | 0.0052 | |
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| 0.0083 | 36.0 | 216 | 0.0050 | |
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| 0.0086 | 37.0 | 222 | 0.0048 | |
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| 0.0075 | 38.0 | 228 | 0.0048 | |
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| 0.0075 | 39.0 | 234 | 0.0047 | |
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| 0.0073 | 40.0 | 240 | 0.0047 | |
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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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