| --- |
| tags: |
| - generated_from_trainer |
| model-index: |
| - name: calculator_model_test |
| results: [] |
| --- |
| |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| should probably proofread and complete it, then remove this comment. --> |
|
|
| # calculator_model_test |
|
|
| This model is a fine-tuned version of [](https://huggingface.co/) on the None dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.7408 |
|
|
| ## Model description |
|
|
| More information needed |
|
|
| ## Intended uses & limitations |
|
|
| More information needed |
|
|
| ## Training and evaluation data |
|
|
| More information needed |
|
|
| ## Training procedure |
|
|
| ### Training hyperparameters |
|
|
| The following hyperparameters were used during training: |
| - learning_rate: 0.001 |
| - train_batch_size: 512 |
| - eval_batch_size: 512 |
| - seed: 42 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - num_epochs: 40 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | |
| |:-------------:|:-----:|:----:|:---------------:| |
| | 3.4176 | 1.0 | 6 | 2.8127 | |
| | 2.4296 | 2.0 | 12 | 2.0690 | |
| | 1.8443 | 3.0 | 18 | 1.6885 | |
| | 1.6666 | 4.0 | 24 | 1.5769 | |
| | 1.5906 | 5.0 | 30 | 1.5903 | |
| | 1.5582 | 6.0 | 36 | 1.5658 | |
| | 1.5621 | 7.0 | 42 | 1.5468 | |
| | 1.5217 | 8.0 | 48 | 1.5043 | |
| | 1.4893 | 9.0 | 54 | 1.4836 | |
| | 1.4929 | 10.0 | 60 | 1.4403 | |
| | 1.4309 | 11.0 | 66 | 1.4263 | |
| | 1.4353 | 12.0 | 72 | 1.3740 | |
| | 1.3626 | 13.0 | 78 | 1.2495 | |
| | 1.2713 | 14.0 | 84 | 1.2969 | |
| | 1.2557 | 15.0 | 90 | 1.2570 | |
| | 1.2188 | 16.0 | 96 | 1.1866 | |
| | 1.1469 | 17.0 | 102 | 1.1291 | |
| | 1.1023 | 18.0 | 108 | 1.0906 | |
| | 1.0688 | 19.0 | 114 | 1.0346 | |
| | 1.0314 | 20.0 | 120 | 1.1635 | |
| | 1.0971 | 21.0 | 126 | 1.1421 | |
| | 1.0944 | 22.0 | 132 | 0.9807 | |
| | 1.0208 | 23.0 | 138 | 1.0720 | |
| | 1.0365 | 24.0 | 144 | 0.9644 | |
| | 0.97 | 25.0 | 150 | 0.9323 | |
| | 0.9316 | 26.0 | 156 | 0.8888 | |
| | 0.9112 | 27.0 | 162 | 0.9156 | |
| | 0.8913 | 28.0 | 168 | 0.9113 | |
| | 0.8733 | 29.0 | 174 | 0.8876 | |
| | 0.8755 | 30.0 | 180 | 0.8725 | |
| | 0.8578 | 31.0 | 186 | 0.8051 | |
| | 0.8409 | 32.0 | 192 | 0.8311 | |
| | 0.8363 | 33.0 | 198 | 0.7970 | |
| | 0.803 | 34.0 | 204 | 0.7995 | |
| | 0.8088 | 35.0 | 210 | 0.7723 | |
| | 0.7882 | 36.0 | 216 | 0.7635 | |
| | 0.7851 | 37.0 | 222 | 0.7551 | |
| | 0.7775 | 38.0 | 228 | 0.7460 | |
| | 0.7979 | 39.0 | 234 | 0.7429 | |
| | 0.7852 | 40.0 | 240 | 0.7408 | |
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| ### Framework versions |
|
|
| - Transformers 4.38.1 |
| - Pytorch 2.1.0+cu121 |
| - Datasets 2.18.0 |
| - Tokenizers 0.15.2 |
|
|
