| --- |
| library_name: transformers |
| 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: 0.5945 |
|
|
| ## 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: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
| - lr_scheduler_type: linear |
| - num_epochs: 40 |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | |
| |:-------------:|:-----:|:----:|:---------------:| |
| | 3.4886 | 1.0 | 5 | 2.9077 | |
| | 2.6030 | 2.0 | 10 | 2.1443 | |
| | 1.9775 | 3.0 | 15 | 1.7360 | |
| | 1.6903 | 4.0 | 20 | 1.5977 | |
| | 1.5862 | 5.0 | 25 | 1.5620 | |
| | 1.5460 | 6.0 | 30 | 1.5337 | |
| | 1.5075 | 7.0 | 35 | 1.4873 | |
| | 1.4838 | 8.0 | 40 | 1.4564 | |
| | 1.4496 | 9.0 | 45 | 1.4431 | |
| | 1.4041 | 10.0 | 50 | 1.3911 | |
| | 1.3950 | 11.0 | 55 | 1.3940 | |
| | 1.3421 | 12.0 | 60 | 1.3259 | |
| | 1.3013 | 13.0 | 65 | 1.2902 | |
| | 1.2550 | 14.0 | 70 | 1.2079 | |
| | 1.1784 | 15.0 | 75 | 1.1146 | |
| | 1.1135 | 16.0 | 80 | 1.0629 | |
| | 1.0583 | 17.0 | 85 | 1.0104 | |
| | 1.0198 | 18.0 | 90 | 0.9646 | |
| | 0.9765 | 19.0 | 95 | 0.9315 | |
| | 0.9386 | 20.0 | 100 | 0.8994 | |
| | 0.9116 | 21.0 | 105 | 0.8690 | |
| | 0.8871 | 22.0 | 110 | 0.8332 | |
| | 0.8702 | 23.0 | 115 | 0.8674 | |
| | 0.8441 | 24.0 | 120 | 0.7941 | |
| | 0.8180 | 25.0 | 125 | 0.7898 | |
| | 0.8022 | 26.0 | 130 | 0.7690 | |
| | 0.7880 | 27.0 | 135 | 0.7386 | |
| | 0.7739 | 28.0 | 140 | 0.7302 | |
| | 0.7618 | 29.0 | 145 | 0.7090 | |
| | 0.7451 | 30.0 | 150 | 0.7043 | |
| | 0.7340 | 31.0 | 155 | 0.6951 | |
| | 0.7240 | 32.0 | 160 | 0.6731 | |
| | 0.7076 | 33.0 | 165 | 0.6516 | |
| | 0.6951 | 34.0 | 170 | 0.6469 | |
| | 0.6846 | 35.0 | 175 | 0.6319 | |
| | 0.6737 | 36.0 | 180 | 0.6170 | |
| | 0.6601 | 37.0 | 185 | 0.6103 | |
| | 0.6558 | 38.0 | 190 | 0.6016 | |
| | 0.6509 | 39.0 | 195 | 0.5963 | |
| | 0.6435 | 40.0 | 200 | 0.5945 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 5.0.0 |
| - Pytorch 2.10.0+cpu |
| - Datasets 4.0.0 |
| - Tokenizers 0.22.2 |
| |
