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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: 0.8108 |
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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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| 3.3648 | 1.0 | 6 | 2.7465 | |
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| 2.3708 | 2.0 | 12 | 2.0172 | |
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| 1.8554 | 3.0 | 18 | 1.7507 | |
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| 1.6599 | 4.0 | 24 | 1.6101 | |
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| 1.5513 | 5.0 | 30 | 1.6004 | |
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| 1.5494 | 6.0 | 36 | 1.5314 | |
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| 1.5147 | 7.0 | 42 | 1.6012 | |
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| 1.5361 | 8.0 | 48 | 1.9344 | |
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| 1.5928 | 9.0 | 54 | 1.5257 | |
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| 1.5114 | 10.0 | 60 | 1.5045 | |
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| 1.457 | 11.0 | 66 | 1.4829 | |
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| 1.4053 | 12.0 | 72 | 1.4635 | |
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| 1.4049 | 13.0 | 78 | 1.4393 | |
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| 1.4052 | 14.0 | 84 | 1.3878 | |
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| 1.3437 | 15.0 | 90 | 1.3503 | |
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| 1.3226 | 16.0 | 96 | 1.3059 | |
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| 1.2817 | 17.0 | 102 | 1.2379 | |
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| 1.2255 | 18.0 | 108 | 1.1771 | |
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| 1.1717 | 19.0 | 114 | 1.2811 | |
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| 1.2039 | 20.0 | 120 | 1.3512 | |
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| 1.2312 | 21.0 | 126 | 1.2075 | |
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| 1.1481 | 22.0 | 132 | 1.0787 | |
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| 1.091 | 23.0 | 138 | 1.0809 | |
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| 1.0598 | 24.0 | 144 | 1.0479 | |
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| 1.0649 | 25.0 | 150 | 1.0148 | |
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| 1.0172 | 26.0 | 156 | 1.0194 | |
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| 1.0004 | 27.0 | 162 | 0.9618 | |
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| 0.9639 | 28.0 | 168 | 0.9565 | |
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| 0.9461 | 29.0 | 174 | 0.9197 | |
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| 0.9112 | 30.0 | 180 | 0.9280 | |
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| 0.9397 | 31.0 | 186 | 0.8850 | |
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| 0.8829 | 32.0 | 192 | 0.8936 | |
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| 0.8869 | 33.0 | 198 | 0.9086 | |
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| 0.8956 | 34.0 | 204 | 0.8656 | |
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| 0.8672 | 35.0 | 210 | 0.8579 | |
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| 0.8427 | 36.0 | 216 | 0.8305 | |
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| 0.8538 | 37.0 | 222 | 0.8312 | |
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| 0.83 | 38.0 | 228 | 0.8179 | |
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| 0.8411 | 39.0 | 234 | 0.8124 | |
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| 0.8238 | 40.0 | 240 | 0.8108 | |
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### Framework versions |
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- Transformers 4.38.1 |
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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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