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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: 0.7830 |
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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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| 3.427 | 1.0 | 6 | 2.7939 | |
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| 2.4109 | 2.0 | 12 | 2.0016 | |
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| 1.8545 | 3.0 | 18 | 1.7404 | |
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| 1.6739 | 4.0 | 24 | 1.6295 | |
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| 1.6169 | 5.0 | 30 | 1.5796 | |
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| 1.5292 | 6.0 | 36 | 1.5329 | |
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| 1.5561 | 7.0 | 42 | 1.5452 | |
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| 1.5104 | 8.0 | 48 | 1.4851 | |
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| 1.449 | 9.0 | 54 | 1.4911 | |
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| 1.4033 | 10.0 | 60 | 1.5385 | |
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| 1.596 | 11.0 | 66 | 1.4041 | |
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| 1.4016 | 12.0 | 72 | 1.4326 | |
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| 1.3652 | 13.0 | 78 | 1.4192 | |
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| 1.3674 | 14.0 | 84 | 1.3686 | |
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| 1.3247 | 15.0 | 90 | 1.3393 | |
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| 1.2677 | 16.0 | 96 | 1.2822 | |
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| 1.2501 | 17.0 | 102 | 1.4161 | |
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| 1.2504 | 18.0 | 108 | 1.2305 | |
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| 1.2036 | 19.0 | 114 | 1.2746 | |
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| 1.19 | 20.0 | 120 | 1.1341 | |
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| 1.1239 | 21.0 | 126 | 1.0830 | |
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| 1.0561 | 22.0 | 132 | 1.1285 | |
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| 1.1156 | 23.0 | 138 | 1.1040 | |
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| 1.0666 | 24.0 | 144 | 1.0544 | |
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| 1.0425 | 25.0 | 150 | 0.9969 | |
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| 1.0004 | 26.0 | 156 | 0.9607 | |
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| 0.9737 | 27.0 | 162 | 0.9564 | |
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| 0.9604 | 28.0 | 168 | 0.9418 | |
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| 0.9737 | 29.0 | 174 | 0.8994 | |
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| 0.9149 | 30.0 | 180 | 0.8790 | |
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| 0.9073 | 31.0 | 186 | 0.8659 | |
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| 0.896 | 32.0 | 192 | 0.8466 | |
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| 0.8752 | 33.0 | 198 | 0.8496 | |
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| 0.9161 | 34.0 | 204 | 0.8349 | |
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| 0.8831 | 35.0 | 210 | 0.8165 | |
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| 0.8352 | 36.0 | 216 | 0.8027 | |
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| 0.8305 | 37.0 | 222 | 0.7951 | |
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| 0.8242 | 38.0 | 228 | 0.7902 | |
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| 0.8416 | 39.0 | 234 | 0.7846 | |
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| 0.832 | 40.0 | 240 | 0.7830 | |
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### Framework versions |
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- Transformers 4.38.2 |
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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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