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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: 0.6006 |
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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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| 3.486 | 1.0 | 5 | 2.9161 | |
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| 2.5763 | 2.0 | 10 | 2.1493 | |
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| 1.965 | 3.0 | 15 | 1.7717 | |
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| 1.6868 | 4.0 | 20 | 1.6013 | |
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| 1.5787 | 5.0 | 25 | 1.5372 | |
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| 1.5007 | 6.0 | 30 | 1.4588 | |
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| 1.428 | 7.0 | 35 | 1.4072 | |
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| 1.4041 | 8.0 | 40 | 1.3590 | |
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| 1.3104 | 9.0 | 45 | 1.2594 | |
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| 1.279 | 10.0 | 50 | 1.2948 | |
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| 1.2457 | 11.0 | 55 | 1.2035 | |
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| 1.1598 | 12.0 | 60 | 1.0922 | |
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| 1.0812 | 13.0 | 65 | 1.0745 | |
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| 1.0613 | 14.0 | 70 | 1.0448 | |
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| 1.0542 | 15.0 | 75 | 1.0009 | |
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| 1.0459 | 16.0 | 80 | 0.9843 | |
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| 1.0733 | 17.0 | 85 | 1.1919 | |
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| 1.0664 | 18.0 | 90 | 1.0079 | |
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| 0.9639 | 19.0 | 95 | 0.9124 | |
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| 0.9094 | 20.0 | 100 | 0.8717 | |
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| 0.8693 | 21.0 | 105 | 0.8281 | |
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| 0.8348 | 22.0 | 110 | 0.7971 | |
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| 0.8095 | 23.0 | 115 | 0.8027 | |
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| 0.7985 | 24.0 | 120 | 0.7565 | |
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| 0.784 | 25.0 | 125 | 0.7354 | |
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| 0.7934 | 26.0 | 130 | 0.8105 | |
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| 0.7754 | 27.0 | 135 | 0.7499 | |
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| 0.7381 | 28.0 | 140 | 0.6967 | |
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| 0.7124 | 29.0 | 145 | 0.6911 | |
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| 0.7058 | 30.0 | 150 | 0.6855 | |
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| 0.6998 | 31.0 | 155 | 0.6779 | |
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| 0.6966 | 32.0 | 160 | 0.6676 | |
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| 0.6859 | 33.0 | 165 | 0.6618 | |
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| 0.6774 | 34.0 | 170 | 0.6418 | |
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| 0.6617 | 35.0 | 175 | 0.6278 | |
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| 0.6521 | 36.0 | 180 | 0.6152 | |
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| 0.6422 | 37.0 | 185 | 0.6121 | |
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| 0.6358 | 38.0 | 190 | 0.6074 | |
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| 0.631 | 39.0 | 195 | 0.6022 | |
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| 0.6294 | 40.0 | 200 | 0.6006 | |
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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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