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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: 0.6102 |
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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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| 3.4688 | 1.0 | 5 | 2.8659 | |
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| 2.5395 | 2.0 | 10 | 2.1007 | |
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| 1.9592 | 3.0 | 15 | 1.7491 | |
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| 1.6895 | 4.0 | 20 | 1.5873 | |
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| 1.5985 | 5.0 | 25 | 1.5268 | |
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| 1.5444 | 6.0 | 30 | 1.5378 | |
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| 1.5074 | 7.0 | 35 | 1.4607 | |
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| 1.4651 | 8.0 | 40 | 1.4537 | |
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| 1.4525 | 9.0 | 45 | 1.4718 | |
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| 1.4429 | 10.0 | 50 | 1.3729 | |
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| 1.3852 | 11.0 | 55 | 1.3508 | |
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| 1.3357 | 12.0 | 60 | 1.2872 | |
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| 1.2972 | 13.0 | 65 | 1.2634 | |
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| 1.2483 | 14.0 | 70 | 1.1977 | |
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| 1.1983 | 15.0 | 75 | 1.1583 | |
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| 1.1462 | 16.0 | 80 | 1.0801 | |
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| 1.0846 | 17.0 | 85 | 1.0128 | |
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| 1.055 | 18.0 | 90 | 1.0017 | |
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| 1.0239 | 19.0 | 95 | 0.9550 | |
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| 0.9661 | 20.0 | 100 | 0.9190 | |
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| 0.9551 | 21.0 | 105 | 0.8978 | |
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| 0.9148 | 22.0 | 110 | 0.8516 | |
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| 0.887 | 23.0 | 115 | 0.8381 | |
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| 0.8872 | 24.0 | 120 | 0.8330 | |
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| 0.8642 | 25.0 | 125 | 0.8257 | |
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| 0.8441 | 26.0 | 130 | 0.7729 | |
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| 0.8151 | 27.0 | 135 | 0.7500 | |
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| 0.7906 | 28.0 | 140 | 0.7392 | |
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| 0.7797 | 29.0 | 145 | 0.7292 | |
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| 0.7707 | 30.0 | 150 | 0.7043 | |
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| 0.7475 | 31.0 | 155 | 0.6987 | |
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| 0.74 | 32.0 | 160 | 0.6696 | |
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| 0.7274 | 33.0 | 165 | 0.6536 | |
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| 0.7121 | 34.0 | 170 | 0.6459 | |
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| 0.7113 | 35.0 | 175 | 0.6505 | |
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| 0.7016 | 36.0 | 180 | 0.6299 | |
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| 0.6946 | 37.0 | 185 | 0.6234 | |
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| 0.6886 | 38.0 | 190 | 0.6157 | |
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| 0.6821 | 39.0 | 195 | 0.6146 | |
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| 0.6768 | 40.0 | 200 | 0.6102 | |
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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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