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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: 0.7094
## 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
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 3.645 | 1.0 | 6 | 3.1423 |
| 2.6617 | 2.0 | 12 | 2.2004 |
| 1.9491 | 3.0 | 18 | 1.7518 |
| 1.6288 | 4.0 | 24 | 1.6348 |
| 1.5541 | 5.0 | 30 | 1.5475 |
| 1.538 | 6.0 | 36 | 1.9365 |
| 1.6453 | 7.0 | 42 | 1.5644 |
| 1.5197 | 8.0 | 48 | 1.5235 |
| 1.4557 | 9.0 | 54 | 1.4558 |
| 1.3767 | 10.0 | 60 | 1.4314 |
| 1.3545 | 11.0 | 66 | 1.3279 |
| 1.288 | 12.0 | 72 | 1.2356 |
| 1.227 | 13.0 | 78 | 1.3249 |
| 1.2531 | 14.0 | 84 | 1.2027 |
| 1.1426 | 15.0 | 90 | 1.1148 |
| 1.0918 | 16.0 | 96 | 1.1311 |
| 1.0839 | 17.0 | 102 | 1.1813 |
| 1.0836 | 18.0 | 108 | 1.0659 |
| 1.0585 | 19.0 | 114 | 1.0008 |
| 0.9926 | 20.0 | 120 | 0.9494 |
| 0.9478 | 21.0 | 126 | 0.9661 |
| 0.9775 | 22.0 | 132 | 0.9673 |
| 0.934 | 23.0 | 138 | 0.9720 |
| 0.924 | 24.0 | 144 | 0.9773 |
| 0.9248 | 25.0 | 150 | 0.9146 |
| 0.9067 | 26.0 | 156 | 0.8718 |
| 0.8721 | 27.0 | 162 | 0.8443 |
| 0.8469 | 28.0 | 168 | 0.8218 |
| 0.8193 | 29.0 | 174 | 0.8011 |
| 0.8128 | 30.0 | 180 | 0.7859 |
| 0.8052 | 31.0 | 186 | 0.7834 |
| 0.7991 | 32.0 | 192 | 0.7729 |
| 0.7989 | 33.0 | 198 | 0.7604 |
| 0.8723 | 34.0 | 204 | 0.7481 |
| 0.7696 | 35.0 | 210 | 0.7421 |
| 0.7635 | 36.0 | 216 | 0.7335 |
| 0.7615 | 37.0 | 222 | 0.7248 |
| 0.7523 | 38.0 | 228 | 0.7232 |
| 0.7501 | 39.0 | 234 | 0.7160 |
| 0.7662 | 40.0 | 240 | 0.7094 |
### Framework versions
- Transformers 4.48.3
- Pytorch 2.5.1+cu124
- Datasets 3.3.2
- Tokenizers 0.21.0
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