---
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: 0.0085

## 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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 40
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.9669        | 1.0   | 6    | 0.6731          |
| 0.4986        | 2.0   | 12   | 0.3548          |
| 0.3213        | 3.0   | 18   | 0.2928          |
| 0.2867        | 4.0   | 24   | 0.2126          |
| 0.2162        | 5.0   | 30   | 0.1518          |
| 0.167         | 6.0   | 36   | 0.1237          |
| 0.1443        | 7.0   | 42   | 0.0969          |
| 0.1235        | 8.0   | 48   | 0.0684          |
| 0.1002        | 9.0   | 54   | 0.0610          |
| 0.0928        | 10.0  | 60   | 0.0616          |
| 0.0843        | 11.0  | 66   | 0.0507          |
| 0.0737        | 12.0  | 72   | 0.0435          |
| 0.0606        | 13.0  | 78   | 0.0387          |
| 0.0583        | 14.0  | 84   | 0.0363          |
| 0.0529        | 15.0  | 90   | 0.0278          |
| 0.0515        | 16.0  | 96   | 0.0267          |
| 0.0539        | 17.0  | 102  | 0.0263          |
| 0.0514        | 18.0  | 108  | 0.0312          |
| 0.0498        | 19.0  | 114  | 0.0248          |
| 0.0405        | 20.0  | 120  | 0.0252          |
| 0.0376        | 21.0  | 126  | 0.0242          |
| 0.0417        | 22.0  | 132  | 0.0279          |
| 0.0361        | 23.0  | 138  | 0.0219          |
| 0.0327        | 24.0  | 144  | 0.0152          |
| 0.0288        | 25.0  | 150  | 0.0146          |
| 0.0253        | 26.0  | 156  | 0.0162          |
| 0.0223        | 27.0  | 162  | 0.0140          |
| 0.0207        | 28.0  | 168  | 0.0118          |
| 0.0198        | 29.0  | 174  | 0.0108          |
| 0.0191        | 30.0  | 180  | 0.0109          |
| 0.0172        | 31.0  | 186  | 0.0096          |
| 0.0165        | 32.0  | 192  | 0.0093          |
| 0.0153        | 33.0  | 198  | 0.0091          |
| 0.0156        | 34.0  | 204  | 0.0092          |
| 0.0159        | 35.0  | 210  | 0.0092          |
| 0.0153        | 36.0  | 216  | 0.0088          |
| 0.0157        | 37.0  | 222  | 0.0085          |
| 0.0149        | 38.0  | 228  | 0.0084          |
| 0.0135        | 39.0  | 234  | 0.0086          |
| 0.0135        | 40.0  | 240  | 0.0085          |


### Framework versions

- Transformers 4.45.0
- Pytorch 2.5.1+cu124
- Datasets 3.3.2
- Tokenizers 0.20.3