---
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: 0.0868

## 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

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.9639        | 1.0   | 6    | 2.2327          |
| 2.0112        | 2.0   | 12   | 1.7195          |
| 1.5448        | 3.0   | 18   | 1.3346          |
| 1.2344        | 4.0   | 24   | 1.1502          |
| 1.0961        | 5.0   | 30   | 1.0083          |
| 0.9938        | 6.0   | 36   | 0.9712          |
| 0.9205        | 7.0   | 42   | 0.8846          |
| 0.8293        | 8.0   | 48   | 0.7529          |
| 0.7735        | 9.0   | 54   | 0.7236          |
| 0.7284        | 10.0  | 60   | 0.7006          |
| 0.673         | 11.0  | 66   | 0.6580          |
| 0.6238        | 12.0  | 72   | 0.5931          |
| 0.5871        | 13.0  | 78   | 0.5475          |
| 0.548         | 14.0  | 84   | 0.4944          |
| 0.5           | 15.0  | 90   | 0.4888          |
| 0.4772        | 16.0  | 96   | 0.4259          |
| 0.4605        | 17.0  | 102  | 0.4471          |
| 0.4191        | 18.0  | 108  | 0.3692          |
| 0.3724        | 19.0  | 114  | 0.3329          |
| 0.3483        | 20.0  | 120  | 0.3270          |
| 0.3268        | 21.0  | 126  | 0.2739          |
| 0.2884        | 22.0  | 132  | 0.2396          |
| 0.2567        | 23.0  | 138  | 0.2038          |
| 0.2415        | 24.0  | 144  | 0.2121          |
| 0.2322        | 25.0  | 150  | 0.1778          |
| 0.1971        | 26.0  | 156  | 0.1631          |
| 0.2065        | 27.0  | 162  | 0.1592          |
| 0.1918        | 28.0  | 168  | 0.1422          |
| 0.1854        | 29.0  | 174  | 0.1359          |
| 0.1691        | 30.0  | 180  | 0.1291          |
| 0.1645        | 31.0  | 186  | 0.1201          |
| 0.1614        | 32.0  | 192  | 0.1138          |
| 0.1435        | 33.0  | 198  | 0.1082          |
| 0.1354        | 34.0  | 204  | 0.1014          |
| 0.129         | 35.0  | 210  | 0.0956          |
| 0.1298        | 36.0  | 216  | 0.0971          |
| 0.1266        | 37.0  | 222  | 0.0916          |
| 0.1374        | 38.0  | 228  | 0.0919          |
| 0.1217        | 39.0  | 234  | 0.0882          |
| 0.1341        | 40.0  | 240  | 0.0868          |


### Framework versions

- Transformers 4.38.1
- Pytorch 2.1.0+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2