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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: 0.7518 |
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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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| 3.392 | 1.0 | 6 | 2.7421 | |
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| 2.3678 | 2.0 | 12 | 1.9842 | |
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| 1.8103 | 3.0 | 18 | 1.6702 | |
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| 1.6444 | 4.0 | 24 | 1.5900 | |
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| 1.5998 | 5.0 | 30 | 1.5549 | |
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| 1.6759 | 6.0 | 36 | 1.5762 | |
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| 1.5344 | 7.0 | 42 | 1.5907 | |
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| 1.5276 | 8.0 | 48 | 1.5784 | |
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| 1.5187 | 9.0 | 54 | 1.5224 | |
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| 1.5007 | 10.0 | 60 | 1.4601 | |
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| 1.4285 | 11.0 | 66 | 1.4192 | |
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| 1.3919 | 12.0 | 72 | 1.3792 | |
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| 1.3663 | 13.0 | 78 | 1.3728 | |
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| 1.3035 | 14.0 | 84 | 1.2453 | |
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| 1.2542 | 15.0 | 90 | 1.2191 | |
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| 1.2343 | 16.0 | 96 | 1.1600 | |
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| 1.1959 | 17.0 | 102 | 1.1465 | |
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| 1.1617 | 18.0 | 108 | 1.0958 | |
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| 1.1189 | 19.0 | 114 | 1.0729 | |
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| 1.1026 | 20.0 | 120 | 1.1611 | |
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| 1.1227 | 21.0 | 126 | 1.0368 | |
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| 1.0386 | 22.0 | 132 | 1.0107 | |
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| 0.9962 | 23.0 | 138 | 0.9677 | |
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| 0.9762 | 24.0 | 144 | 0.9360 | |
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| 0.9474 | 25.0 | 150 | 0.9168 | |
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| 0.9317 | 26.0 | 156 | 0.9569 | |
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| 0.9156 | 27.0 | 162 | 0.9376 | |
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| 0.9061 | 28.0 | 168 | 0.9363 | |
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| 0.9147 | 29.0 | 174 | 0.9067 | |
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| 0.9141 | 30.0 | 180 | 0.8845 | |
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| 0.8753 | 31.0 | 186 | 0.8666 | |
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| 0.8572 | 32.0 | 192 | 0.8369 | |
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| 0.848 | 33.0 | 198 | 0.8324 | |
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| 0.8231 | 34.0 | 204 | 0.7965 | |
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| 0.8167 | 35.0 | 210 | 0.7844 | |
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| 0.8004 | 36.0 | 216 | 0.7741 | |
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| 0.7786 | 37.0 | 222 | 0.7700 | |
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| 0.8023 | 38.0 | 228 | 0.7571 | |
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| 0.7799 | 39.0 | 234 | 0.7593 | |
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| 0.7947 | 40.0 | 240 | 0.7518 | |
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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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