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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: 0.7222 |
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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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| 3.4163 | 1.0 | 6 | 2.8253 | |
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| 2.463 | 2.0 | 12 | 2.0984 | |
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| 1.8832 | 3.0 | 18 | 1.7286 | |
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| 1.6613 | 4.0 | 24 | 1.6379 | |
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| 1.5863 | 5.0 | 30 | 1.5767 | |
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| 1.5021 | 6.0 | 36 | 1.5366 | |
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| 1.4813 | 7.0 | 42 | 1.5000 | |
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| 1.4805 | 8.0 | 48 | 1.4118 | |
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| 1.4184 | 9.0 | 54 | 1.4590 | |
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| 1.3594 | 10.0 | 60 | 1.3815 | |
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| 1.3154 | 11.0 | 66 | 1.3336 | |
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| 1.3036 | 12.0 | 72 | 1.3426 | |
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| 1.2467 | 13.0 | 78 | 1.2566 | |
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| 1.1995 | 14.0 | 84 | 1.1788 | |
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| 1.1292 | 15.0 | 90 | 1.1819 | |
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| 1.1157 | 16.0 | 96 | 1.1389 | |
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| 1.1397 | 17.0 | 102 | 1.0924 | |
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| 1.1128 | 18.0 | 108 | 1.0831 | |
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| 1.0476 | 19.0 | 114 | 1.0312 | |
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| 1.0193 | 20.0 | 120 | 0.9820 | |
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| 1.0701 | 21.0 | 126 | 0.9712 | |
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| 0.9618 | 22.0 | 132 | 0.9326 | |
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| 0.9227 | 23.0 | 138 | 0.9335 | |
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| 0.9399 | 24.0 | 144 | 0.9046 | |
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| 0.9318 | 25.0 | 150 | 0.8951 | |
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| 0.9068 | 26.0 | 156 | 0.8831 | |
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| 0.8687 | 27.0 | 162 | 0.8611 | |
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| 0.848 | 28.0 | 168 | 0.8884 | |
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| 0.8559 | 29.0 | 174 | 0.8844 | |
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| 0.8439 | 30.0 | 180 | 0.8729 | |
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| 0.8453 | 31.0 | 186 | 0.8323 | |
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| 0.8154 | 32.0 | 192 | 0.8130 | |
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| 0.788 | 33.0 | 198 | 0.8038 | |
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| 0.7912 | 34.0 | 204 | 0.7717 | |
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| 0.7823 | 35.0 | 210 | 0.7539 | |
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| 0.7658 | 36.0 | 216 | 0.7556 | |
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| 0.7617 | 37.0 | 222 | 0.7427 | |
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| 0.7396 | 38.0 | 228 | 0.7340 | |
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| 0.7621 | 39.0 | 234 | 0.7243 | |
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| 0.7324 | 40.0 | 240 | 0.7222 | |
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### Framework versions |
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- Transformers 4.38.2 |
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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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