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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: 0.2167 |
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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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| 2.9708 | 1.0 | 6 | 2.2532 | |
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| 2.0334 | 2.0 | 12 | 1.7317 | |
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| 1.5636 | 3.0 | 18 | 1.3306 | |
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| 1.2228 | 4.0 | 24 | 1.1101 | |
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| 1.0587 | 5.0 | 30 | 0.9678 | |
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| 0.9399 | 6.0 | 36 | 0.8654 | |
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| 0.8269 | 7.0 | 42 | 0.7420 | |
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| 0.7354 | 8.0 | 48 | 0.6981 | |
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| 0.6841 | 9.0 | 54 | 0.6609 | |
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| 0.6499 | 10.0 | 60 | 0.6128 | |
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| 0.592 | 11.0 | 66 | 0.5730 | |
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| 0.5651 | 12.0 | 72 | 0.5324 | |
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| 0.53 | 13.0 | 78 | 0.5232 | |
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| 0.5087 | 14.0 | 84 | 0.5066 | |
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| 0.5052 | 15.0 | 90 | 0.4966 | |
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| 0.4933 | 16.0 | 96 | 0.4476 | |
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| 0.4622 | 17.0 | 102 | 0.4559 | |
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| 0.4604 | 18.0 | 108 | 0.4520 | |
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| 0.4386 | 19.0 | 114 | 0.4525 | |
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| 0.4453 | 20.0 | 120 | 0.4345 | |
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| 0.4293 | 21.0 | 126 | 0.3955 | |
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| 0.3904 | 22.0 | 132 | 0.3695 | |
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| 0.3793 | 23.0 | 138 | 0.3614 | |
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| 0.3648 | 24.0 | 144 | 0.3463 | |
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| 0.3471 | 25.0 | 150 | 0.3247 | |
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| 0.3391 | 26.0 | 156 | 0.3100 | |
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| 0.3084 | 27.0 | 162 | 0.2981 | |
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| 0.3188 | 28.0 | 168 | 0.2901 | |
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| 0.3074 | 29.0 | 174 | 0.2791 | |
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| 0.2847 | 30.0 | 180 | 0.2832 | |
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| 0.2832 | 31.0 | 186 | 0.2637 | |
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| 0.2762 | 32.0 | 192 | 0.2596 | |
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| 0.2928 | 33.0 | 198 | 0.2487 | |
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| 0.2759 | 34.0 | 204 | 0.2408 | |
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| 0.2634 | 35.0 | 210 | 0.2334 | |
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| 0.2585 | 36.0 | 216 | 0.2270 | |
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| 0.2444 | 37.0 | 222 | 0.2227 | |
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| 0.2394 | 38.0 | 228 | 0.2183 | |
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| 0.2376 | 39.0 | 234 | 0.2174 | |
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| 0.2394 | 40.0 | 240 | 0.2167 | |
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### Framework versions |
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- Transformers 4.38.2 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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