---
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: 0.1433

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 2.9812        | 1.0   | 6    | 2.2407          |
| 2.0270        | 2.0   | 12   | 1.7466          |
| 1.5714        | 3.0   | 18   | 1.2953          |
| 1.2001        | 4.0   | 24   | 1.0696          |
| 1.0133        | 5.0   | 30   | 0.9091          |
| 0.8661        | 6.0   | 36   | 0.7848          |
| 0.7555        | 7.0   | 42   | 0.6814          |
| 0.6796        | 8.0   | 48   | 0.6318          |
| 0.6473        | 9.0   | 54   | 0.6153          |
| 0.6041        | 10.0  | 60   | 0.5501          |
| 0.5619        | 11.0  | 66   | 0.5469          |
| 0.5457        | 12.0  | 72   | 0.5018          |
| 0.5004        | 13.0  | 78   | 0.4598          |
| 0.4727        | 14.0  | 84   | 0.4299          |
| 0.4530        | 15.0  | 90   | 0.4329          |
| 0.4326        | 16.0  | 96   | 0.4042          |
| 0.4063        | 17.0  | 102  | 0.3745          |
| 0.3781        | 18.0  | 108  | 0.3800          |
| 0.3919        | 19.0  | 114  | 0.3520          |
| 0.3600        | 20.0  | 120  | 0.3237          |
| 0.3449        | 21.0  | 126  | 0.2963          |
| 0.3199        | 22.0  | 132  | 0.3008          |
| 0.3220        | 23.0  | 138  | 0.2882          |
| 0.3037        | 24.0  | 144  | 0.2534          |
| 0.2746        | 25.0  | 150  | 0.2573          |
| 0.2700        | 26.0  | 156  | 0.2359          |
| 0.2573        | 27.0  | 162  | 0.2204          |
| 0.2392        | 28.0  | 168  | 0.2122          |
| 0.2339        | 29.0  | 174  | 0.2000          |
| 0.2208        | 30.0  | 180  | 0.1913          |
| 0.2159        | 31.0  | 186  | 0.1816          |
| 0.1982        | 32.0  | 192  | 0.1747          |
| 0.1967        | 33.0  | 198  | 0.1665          |
| 0.1868        | 34.0  | 204  | 0.1642          |
| 0.1804        | 35.0  | 210  | 0.1589          |
| 0.1797        | 36.0  | 216  | 0.1555          |
| 0.1731        | 37.0  | 222  | 0.1524          |
| 0.1698        | 38.0  | 228  | 0.1471          |
| 0.1679        | 39.0  | 234  | 0.1440          |
| 0.1667        | 40.0  | 240  | 0.1433          |


### Framework versions

- Transformers 5.0.0
- Pytorch 2.10.0+cu128
- Datasets 4.0.0
- Tokenizers 0.22.2