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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: 0.0064
## 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 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 2.7931 | 1.0 | 6 | 2.1113 |
| 1.8077 | 2.0 | 12 | 1.4058 |
| 1.1644 | 3.0 | 18 | 0.9666 |
| 0.8817 | 4.0 | 24 | 0.7780 |
| 0.7403 | 5.0 | 30 | 0.7428 |
| 0.7086 | 6.0 | 36 | 0.6427 |
| 0.6289 | 7.0 | 42 | 0.5918 |
| 0.5774 | 8.0 | 48 | 0.5336 |
| 0.5304 | 9.0 | 54 | 0.4841 |
| 0.4572 | 10.0 | 60 | 0.4076 |
| 0.4071 | 11.0 | 66 | 0.3833 |
| 0.3504 | 12.0 | 72 | 0.3248 |
| 0.3101 | 13.0 | 78 | 0.2868 |
| 0.2649 | 14.0 | 84 | 0.2062 |
| 0.2075 | 15.0 | 90 | 0.1612 |
| 0.1667 | 16.0 | 96 | 0.1267 |
| 0.1327 | 17.0 | 102 | 0.0917 |
| 0.1027 | 18.0 | 108 | 0.0700 |
| 0.0871 | 19.0 | 114 | 0.0644 |
| 0.0785 | 20.0 | 120 | 0.0544 |
| 0.077 | 21.0 | 126 | 0.0449 |
| 0.0588 | 22.0 | 132 | 0.0333 |
| 0.0459 | 23.0 | 138 | 0.0280 |
| 0.0418 | 24.0 | 144 | 0.0217 |
| 0.0347 | 25.0 | 150 | 0.0180 |
| 0.0325 | 26.0 | 156 | 0.0179 |
| 0.0293 | 27.0 | 162 | 0.0148 |
| 0.0271 | 28.0 | 168 | 0.0117 |
| 0.0223 | 29.0 | 174 | 0.0129 |
| 0.0196 | 30.0 | 180 | 0.0099 |
| 0.0164 | 31.0 | 186 | 0.0087 |
| 0.0154 | 32.0 | 192 | 0.0082 |
| 0.013 | 33.0 | 198 | 0.0075 |
| 0.0123 | 34.0 | 204 | 0.0070 |
| 0.0123 | 35.0 | 210 | 0.0068 |
| 0.0112 | 36.0 | 216 | 0.0066 |
| 0.0125 | 37.0 | 222 | 0.0065 |
| 0.0111 | 38.0 | 228 | 0.0065 |
| 0.0122 | 39.0 | 234 | 0.0065 |
| 0.0107 | 40.0 | 240 | 0.0064 |
### Framework versions
- Transformers 4.49.0
- Pytorch 2.6.0+cu126
- Datasets 3.3.2
- Tokenizers 0.21.0
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