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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: 1.4131 |
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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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| 3.3688 | 1.0 | 6 | 2.7446 | |
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| 2.3519 | 2.0 | 12 | 2.0185 | |
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| 1.8781 | 3.0 | 18 | 1.7058 | |
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| 1.6266 | 4.0 | 24 | 1.6304 | |
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| 1.614 | 5.0 | 30 | 1.5637 | |
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| 1.6233 | 6.0 | 36 | 1.5529 | |
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| 1.5566 | 7.0 | 42 | 1.5884 | |
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| 1.5389 | 8.0 | 48 | 1.5444 | |
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| 1.5121 | 9.0 | 54 | 1.5489 | |
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| 1.5376 | 10.0 | 60 | 1.5411 | |
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| 1.532 | 11.0 | 66 | 1.5396 | |
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| 1.5576 | 12.0 | 72 | 1.5405 | |
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| 1.5914 | 13.0 | 78 | 1.5442 | |
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| 1.5226 | 14.0 | 84 | 1.5356 | |
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| 1.5129 | 15.0 | 90 | 1.5327 | |
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| 1.5037 | 16.0 | 96 | 1.5333 | |
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| 1.5191 | 17.0 | 102 | 1.5379 | |
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| 1.4822 | 18.0 | 108 | 1.5329 | |
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| 1.5205 | 19.0 | 114 | 1.5272 | |
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| 1.6166 | 20.0 | 120 | 1.5257 | |
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| 1.5019 | 21.0 | 126 | 1.5286 | |
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| 1.5512 | 22.0 | 132 | 1.5284 | |
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| 1.5532 | 23.0 | 138 | 1.5302 | |
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| 1.5016 | 24.0 | 144 | 1.5287 | |
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| 1.4958 | 25.0 | 150 | 1.5302 | |
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| 1.4917 | 26.0 | 156 | 1.5260 | |
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| 1.5 | 27.0 | 162 | 1.5249 | |
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| 1.5572 | 28.0 | 168 | 1.5272 | |
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| 1.5552 | 29.0 | 174 | 1.5259 | |
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| 1.545 | 30.0 | 180 | 1.5121 | |
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| 1.519 | 31.0 | 186 | 1.5229 | |
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| 1.5074 | 32.0 | 192 | 1.5117 | |
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| 1.4766 | 33.0 | 198 | 1.4902 | |
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| 1.4597 | 34.0 | 204 | 1.4815 | |
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| 1.4488 | 35.0 | 210 | 1.4592 | |
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| 1.4401 | 36.0 | 216 | 1.4433 | |
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| 1.4376 | 37.0 | 222 | 1.4322 | |
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| 1.3936 | 38.0 | 228 | 1.4231 | |
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| 1.4553 | 39.0 | 234 | 1.4220 | |
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| 1.4191 | 40.0 | 240 | 1.4131 | |
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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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