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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: 0.9144 |
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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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| 3.3969 | 1.0 | 6 | 2.7182 | |
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| 2.3315 | 2.0 | 12 | 1.9518 | |
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| 1.7958 | 3.0 | 18 | 1.6778 | |
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| 1.6131 | 4.0 | 24 | 1.5845 | |
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| 1.5584 | 5.0 | 30 | 1.5760 | |
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| 1.548 | 6.0 | 36 | 1.5781 | |
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| 1.5369 | 7.0 | 42 | 1.5516 | |
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| 1.5412 | 8.0 | 48 | 1.6085 | |
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| 1.5311 | 9.0 | 54 | 1.5398 | |
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| 1.5435 | 10.0 | 60 | 1.5587 | |
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| 1.5138 | 11.0 | 66 | 1.5452 | |
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| 1.5192 | 12.0 | 72 | 1.5345 | |
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| 1.4818 | 13.0 | 78 | 1.6037 | |
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| 1.4935 | 14.0 | 84 | 1.5391 | |
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| 1.4396 | 15.0 | 90 | 1.8690 | |
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| 1.4801 | 16.0 | 96 | 1.4349 | |
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| 1.4051 | 17.0 | 102 | 1.3765 | |
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| 1.3563 | 18.0 | 108 | 1.3655 | |
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| 1.3188 | 19.0 | 114 | 1.3211 | |
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| 1.3023 | 20.0 | 120 | 1.2695 | |
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| 1.259 | 21.0 | 126 | 1.2644 | |
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| 1.2366 | 22.0 | 132 | 1.2287 | |
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| 1.2252 | 23.0 | 138 | 1.1858 | |
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| 1.2205 | 24.0 | 144 | 1.1587 | |
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| 1.1593 | 25.0 | 150 | 1.1855 | |
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| 1.1639 | 26.0 | 156 | 1.1943 | |
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| 1.1617 | 27.0 | 162 | 1.1305 | |
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| 1.1493 | 28.0 | 168 | 1.0901 | |
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| 1.1031 | 29.0 | 174 | 1.0640 | |
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| 1.0901 | 30.0 | 180 | 1.0242 | |
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| 1.0582 | 31.0 | 186 | 1.0066 | |
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| 1.0423 | 32.0 | 192 | 0.9996 | |
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| 1.0239 | 33.0 | 198 | 0.9732 | |
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| 1.0151 | 34.0 | 204 | 0.9871 | |
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| 1.0452 | 35.0 | 210 | 0.9655 | |
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| 1.009 | 36.0 | 216 | 0.9411 | |
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| 0.9819 | 37.0 | 222 | 0.9342 | |
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| 0.9773 | 38.0 | 228 | 0.9235 | |
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| 0.9743 | 39.0 | 234 | 0.9175 | |
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| 0.9722 | 40.0 | 240 | 0.9144 | |
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### Framework versions |
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- Transformers 4.38.2 |
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- Pytorch 2.1.1+cu121 |
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- Datasets 2.17.1 |
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- Tokenizers 0.15.2 |
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