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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: 2.9524 |
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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: 0.01 |
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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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| 3.6485 | 1.0 | 6 | 3.2312 | |
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| 3.1316 | 2.0 | 12 | 2.9996 | |
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| 3.037 | 3.0 | 18 | 3.0512 | |
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| 3.0193 | 4.0 | 24 | 3.0006 | |
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| 2.9967 | 5.0 | 30 | 2.9620 | |
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| 2.9847 | 6.0 | 36 | 2.9710 | |
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| 2.9765 | 7.0 | 42 | 2.9646 | |
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| 2.9729 | 8.0 | 48 | 2.9598 | |
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| 2.9755 | 9.0 | 54 | 2.9601 | |
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| 2.9644 | 10.0 | 60 | 2.9621 | |
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| 2.967 | 11.0 | 66 | 2.9609 | |
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| 2.9713 | 12.0 | 72 | 2.9563 | |
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| 2.9704 | 13.0 | 78 | 2.9534 | |
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| 2.9708 | 14.0 | 84 | 2.9552 | |
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| 2.9582 | 15.0 | 90 | 2.9530 | |
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| 2.9729 | 16.0 | 96 | 2.9547 | |
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| 2.9628 | 17.0 | 102 | 2.9576 | |
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| 2.9621 | 18.0 | 108 | 2.9559 | |
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| 2.968 | 19.0 | 114 | 2.9524 | |
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| 2.9663 | 20.0 | 120 | 2.9556 | |
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| 2.9609 | 21.0 | 126 | 2.9534 | |
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| 2.9661 | 22.0 | 132 | 2.9523 | |
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| 2.9563 | 23.0 | 138 | 2.9593 | |
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| 2.9656 | 24.0 | 144 | 2.9551 | |
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| 2.9604 | 25.0 | 150 | 2.9534 | |
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| 2.9694 | 26.0 | 156 | 2.9525 | |
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| 2.9636 | 27.0 | 162 | 2.9522 | |
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| 2.9561 | 28.0 | 168 | 2.9535 | |
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| 2.9762 | 29.0 | 174 | 2.9548 | |
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| 2.962 | 30.0 | 180 | 2.9530 | |
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| 2.9537 | 31.0 | 186 | 2.9501 | |
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| 2.9592 | 32.0 | 192 | 2.9513 | |
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| 2.9695 | 33.0 | 198 | 2.9519 | |
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| 2.9664 | 34.0 | 204 | 2.9527 | |
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| 2.9594 | 35.0 | 210 | 2.9532 | |
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| 2.9582 | 36.0 | 216 | 2.9529 | |
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| 2.9718 | 37.0 | 222 | 2.9533 | |
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| 2.9563 | 38.0 | 228 | 2.9530 | |
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| 2.9599 | 39.0 | 234 | 2.9525 | |
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| 2.9615 | 40.0 | 240 | 2.9524 | |
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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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