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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: 0.7602 |
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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: 64 |
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- eval_batch_size: 64 |
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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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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 1.6045 | 1.0 | 3 | 1.5511 | |
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| 1.3068 | 2.0 | 6 | 1.6045 | |
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| 1.4803 | 3.0 | 9 | 1.3825 | |
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| 1.3351 | 4.0 | 12 | 1.3222 | |
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| 1.259 | 5.0 | 15 | 1.4317 | |
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| 1.237 | 6.0 | 18 | 1.3714 | |
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| 1.2416 | 7.0 | 21 | 1.3284 | |
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| 1.1719 | 8.0 | 24 | 1.2900 | |
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| 1.1413 | 9.0 | 27 | 1.2300 | |
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| 1.0976 | 10.0 | 30 | 1.2427 | |
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| 1.1137 | 11.0 | 33 | 1.1367 | |
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| 1.0512 | 12.0 | 36 | 1.0890 | |
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| 1.0176 | 13.0 | 39 | 1.1537 | |
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| 1.0737 | 14.0 | 42 | 1.1180 | |
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| 0.9744 | 15.0 | 45 | 1.0935 | |
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| 0.9448 | 16.0 | 48 | 0.9942 | |
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| 0.9564 | 17.0 | 51 | 1.0161 | |
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| 0.9895 | 18.0 | 54 | 0.9486 | |
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| 0.9088 | 19.0 | 57 | 0.9694 | |
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| 0.9169 | 20.0 | 60 | 0.9542 | |
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| 0.8814 | 21.0 | 63 | 0.9105 | |
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| 0.8952 | 22.0 | 66 | 0.9043 | |
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| 0.8635 | 23.0 | 69 | 0.8930 | |
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| 0.8357 | 24.0 | 72 | 0.9285 | |
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| 0.8266 | 25.0 | 75 | 0.8613 | |
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| 0.8271 | 26.0 | 78 | 0.9072 | |
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| 0.7921 | 27.0 | 81 | 0.8674 | |
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| 0.775 | 28.0 | 84 | 0.8476 | |
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| 0.7766 | 29.0 | 87 | 0.8600 | |
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| 0.7682 | 30.0 | 90 | 0.8438 | |
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| 0.7844 | 31.0 | 93 | 0.8022 | |
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| 0.7114 | 32.0 | 96 | 0.8131 | |
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| 0.7391 | 33.0 | 99 | 0.7957 | |
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| 0.7347 | 34.0 | 102 | 0.7810 | |
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| 0.7104 | 35.0 | 105 | 0.7740 | |
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| 0.7248 | 36.0 | 108 | 0.7665 | |
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| 0.7359 | 37.0 | 111 | 0.7819 | |
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| 0.7358 | 38.0 | 114 | 0.7668 | |
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| 0.7235 | 39.0 | 117 | 0.7601 | |
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| 0.7203 | 40.0 | 120 | 0.7602 | |
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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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