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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: 0.2387
## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 3.0501 | 1.0 | 6 | 2.2966 |
| 2.0486 | 2.0 | 12 | 1.7533 |
| 1.5929 | 3.0 | 18 | 1.3909 |
| 1.2724 | 4.0 | 24 | 1.1387 |
| 1.0906 | 5.0 | 30 | 0.9902 |
| 0.9501 | 6.0 | 36 | 0.8982 |
| 0.8489 | 7.0 | 42 | 0.8078 |
| 0.7684 | 8.0 | 48 | 0.7145 |
| 0.6872 | 9.0 | 54 | 0.6570 |
| 0.6574 | 10.0 | 60 | 0.6683 |
| 0.6364 | 11.0 | 66 | 0.6542 |
| 0.6217 | 12.0 | 72 | 0.5741 |
| 0.561 | 13.0 | 78 | 0.5594 |
| 0.548 | 14.0 | 84 | 0.5491 |
| 0.5447 | 15.0 | 90 | 0.5075 |
| 0.5114 | 16.0 | 96 | 0.5275 |
| 0.4897 | 17.0 | 102 | 0.4606 |
| 0.4736 | 18.0 | 108 | 0.4505 |
| 0.4536 | 19.0 | 114 | 0.4420 |
| 0.4438 | 20.0 | 120 | 0.4338 |
| 0.4178 | 21.0 | 126 | 0.4388 |
| 0.439 | 22.0 | 132 | 0.4336 |
| 0.4315 | 23.0 | 138 | 0.3953 |
| 0.4006 | 24.0 | 144 | 0.3763 |
| 0.3923 | 25.0 | 150 | 0.3776 |
| 0.3785 | 26.0 | 156 | 0.3616 |
| 0.38 | 27.0 | 162 | 0.3504 |
| 0.3546 | 28.0 | 168 | 0.3411 |
| 0.3507 | 29.0 | 174 | 0.3395 |
| 0.3518 | 30.0 | 180 | 0.3256 |
| 0.3324 | 31.0 | 186 | 0.3084 |
| 0.3161 | 32.0 | 192 | 0.2991 |
| 0.3043 | 33.0 | 198 | 0.2820 |
| 0.2977 | 34.0 | 204 | 0.2706 |
| 0.2911 | 35.0 | 210 | 0.2644 |
| 0.2843 | 36.0 | 216 | 0.2583 |
| 0.2662 | 37.0 | 222 | 0.2491 |
| 0.2737 | 38.0 | 228 | 0.2438 |
| 0.2599 | 39.0 | 234 | 0.2397 |
| 0.2647 | 40.0 | 240 | 0.2387 |
### Framework versions
- Transformers 4.57.2
- Pytorch 2.9.1+cu128
- Datasets 4.5.0
- Tokenizers 0.22.1
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