---
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: 0.0923

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 3.0524        | 1.0   | 6    | 2.3364          |
| 2.0601        | 2.0   | 12   | 1.7532          |
| 1.5868        | 3.0   | 18   | 1.3439          |
| 1.2198        | 4.0   | 24   | 1.0697          |
| 1.0324        | 5.0   | 30   | 0.9496          |
| 0.8954        | 6.0   | 36   | 0.8209          |
| 0.7853        | 7.0   | 42   | 0.7529          |
| 0.7118        | 8.0   | 48   | 0.6709          |
| 0.6574        | 9.0   | 54   | 0.6452          |
| 0.6368        | 10.0  | 60   | 0.5870          |
| 0.5746        | 11.0  | 66   | 0.5092          |
| 0.5092        | 12.0  | 72   | 0.4923          |
| 0.4829        | 13.0  | 78   | 0.4596          |
| 0.4542        | 14.0  | 84   | 0.4221          |
| 0.4286        | 15.0  | 90   | 0.3805          |
| 0.3987        | 16.0  | 96   | 0.3707          |
| 0.3704        | 17.0  | 102  | 0.3424          |
| 0.3639        | 18.0  | 108  | 0.3204          |
| 0.3297        | 19.0  | 114  | 0.2918          |
| 0.3085        | 20.0  | 120  | 0.2683          |
| 0.2814        | 21.0  | 126  | 0.2524          |
| 0.2667        | 22.0  | 132  | 0.2489          |
| 0.2593        | 23.0  | 138  | 0.2238          |
| 0.2427        | 24.0  | 144  | 0.2168          |
| 0.2318        | 25.0  | 150  | 0.2048          |
| 0.226         | 26.0  | 156  | 0.2018          |
| 0.2085        | 27.0  | 162  | 0.1860          |
| 0.1976        | 28.0  | 168  | 0.1800          |
| 0.1928        | 29.0  | 174  | 0.1621          |
| 0.1814        | 30.0  | 180  | 0.1551          |
| 0.1758        | 31.0  | 186  | 0.1398          |
| 0.1598        | 32.0  | 192  | 0.1291          |
| 0.1541        | 33.0  | 198  | 0.1206          |
| 0.1411        | 34.0  | 204  | 0.1097          |
| 0.1371        | 35.0  | 210  | 0.1042          |
| 0.1299        | 36.0  | 216  | 0.1015          |
| 0.1273        | 37.0  | 222  | 0.0955          |
| 0.1214        | 38.0  | 228  | 0.0944          |
| 0.1161        | 39.0  | 234  | 0.0935          |
| 0.1188        | 40.0  | 240  | 0.0923          |


### Framework versions

- Transformers 4.38.1
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2