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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: 0.0886 |
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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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| 2.9371 | 1.0 | 6 | 2.2809 | |
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| 2.0329 | 2.0 | 12 | 1.7417 | |
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| 1.5558 | 3.0 | 18 | 1.3281 | |
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| 1.2296 | 4.0 | 24 | 1.1153 | |
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| 1.0568 | 5.0 | 30 | 0.9804 | |
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| 0.935 | 6.0 | 36 | 0.8776 | |
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| 0.8432 | 7.0 | 42 | 0.7807 | |
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| 0.7598 | 8.0 | 48 | 0.7081 | |
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| 0.6977 | 9.0 | 54 | 0.6922 | |
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| 0.6587 | 10.0 | 60 | 0.6535 | |
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| 0.6083 | 11.0 | 66 | 0.5866 | |
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| 0.5913 | 12.0 | 72 | 0.5483 | |
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| 0.5361 | 13.0 | 78 | 0.4847 | |
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| 0.4944 | 14.0 | 84 | 0.4919 | |
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| 0.4768 | 15.0 | 90 | 0.4696 | |
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| 0.4375 | 16.0 | 96 | 0.4223 | |
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| 0.4205 | 17.0 | 102 | 0.3673 | |
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| 0.379 | 18.0 | 108 | 0.3210 | |
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| 0.3334 | 19.0 | 114 | 0.2762 | |
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| 0.3065 | 20.0 | 120 | 0.2556 | |
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| 0.2759 | 21.0 | 126 | 0.2456 | |
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| 0.2589 | 22.0 | 132 | 0.2186 | |
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| 0.2374 | 23.0 | 138 | 0.2009 | |
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| 0.2248 | 24.0 | 144 | 0.1943 | |
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| 0.2182 | 25.0 | 150 | 0.1972 | |
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| 0.2181 | 26.0 | 156 | 0.1695 | |
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| 0.1999 | 27.0 | 162 | 0.1829 | |
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| 0.2048 | 28.0 | 168 | 0.1786 | |
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| 0.1865 | 29.0 | 174 | 0.1371 | |
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| 0.1667 | 30.0 | 180 | 0.1323 | |
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| 0.161 | 31.0 | 186 | 0.1301 | |
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| 0.1442 | 32.0 | 192 | 0.1162 | |
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| 0.1365 | 33.0 | 198 | 0.1111 | |
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| 0.1298 | 34.0 | 204 | 0.1054 | |
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| 0.1295 | 35.0 | 210 | 0.1001 | |
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| 0.1223 | 36.0 | 216 | 0.0974 | |
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| 0.1222 | 37.0 | 222 | 0.0939 | |
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| 0.1227 | 38.0 | 228 | 0.0921 | |
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| 0.1198 | 39.0 | 234 | 0.0895 | |
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| 0.1139 | 40.0 | 240 | 0.0886 | |
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### Framework versions |
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- Transformers 4.39.0.dev0 |
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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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