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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: 0.3578 |
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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: 30 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 2.9444 | 1.0 | 6 | 2.3826 | |
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| 2.1543 | 2.0 | 12 | 1.8663 | |
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| 1.7072 | 3.0 | 18 | 1.5640 | |
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| 1.4261 | 4.0 | 24 | 1.3127 | |
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| 1.2227 | 5.0 | 30 | 1.1949 | |
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| 1.061 | 6.0 | 36 | 1.0322 | |
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| 0.9789 | 7.0 | 42 | 0.9130 | |
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| 0.8812 | 8.0 | 48 | 0.8633 | |
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| 0.8289 | 9.0 | 54 | 0.7872 | |
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| 0.693 | 10.0 | 60 | 0.7300 | |
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| 0.7416 | 11.0 | 66 | 0.7454 | |
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| 0.6965 | 12.0 | 72 | 0.6641 | |
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| 0.6592 | 13.0 | 78 | 0.6362 | |
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| 0.6411 | 14.0 | 84 | 0.5824 | |
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| 0.5677 | 15.0 | 90 | 0.5541 | |
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| 0.5575 | 16.0 | 96 | 0.5299 | |
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| 0.5305 | 17.0 | 102 | 0.5435 | |
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| 0.5371 | 18.0 | 108 | 0.4937 | |
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| 0.4795 | 19.0 | 114 | 0.4800 | |
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| 0.4693 | 20.0 | 120 | 0.4486 | |
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| 0.4836 | 21.0 | 126 | 0.4478 | |
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| 0.4351 | 22.0 | 132 | 0.4323 | |
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| 0.47 | 23.0 | 138 | 0.4131 | |
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| 0.414 | 24.0 | 144 | 0.4023 | |
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| 0.4396 | 25.0 | 150 | 0.3961 | |
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| 0.4079 | 26.0 | 156 | 0.3870 | |
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| 0.4052 | 27.0 | 162 | 0.3846 | |
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| 0.3914 | 28.0 | 168 | 0.3676 | |
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| 0.4287 | 29.0 | 174 | 0.3593 | |
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| 0.3583 | 30.0 | 180 | 0.3578 | |
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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 2.17.1 |
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- Tokenizers 0.15.2 |
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