---
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: 0.0581

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 3.0573        | 1.0   | 12   | 2.2239          |
| 1.8987        | 2.0   | 24   | 1.4952          |
| 1.3343        | 3.0   | 36   | 1.1356          |
| 1.0684        | 4.0   | 48   | 0.9575          |
| 0.9186        | 5.0   | 60   | 0.8412          |
| 0.8762        | 6.0   | 72   | 0.7883          |
| 0.7913        | 7.0   | 84   | 0.7373          |
| 0.7432        | 8.0   | 96   | 0.6780          |
| 0.6807        | 9.0   | 108  | 0.6366          |
| 0.628         | 10.0  | 120  | 0.5657          |
| 0.5816        | 11.0  | 132  | 0.5325          |
| 0.5332        | 12.0  | 144  | 0.4900          |
| 0.5041        | 13.0  | 156  | 0.4710          |
| 0.444         | 14.0  | 168  | 0.3915          |
| 0.3973        | 15.0  | 180  | 0.3357          |
| 0.3477        | 16.0  | 192  | 0.2913          |
| 0.3143        | 17.0  | 204  | 0.2802          |
| 0.3018        | 18.0  | 216  | 0.2547          |
| 0.2715        | 19.0  | 228  | 0.2355          |
| 0.2514        | 20.0  | 240  | 0.2183          |
| 0.2396        | 21.0  | 252  | 0.2038          |
| 0.2225        | 22.0  | 264  | 0.1802          |
| 0.2133        | 23.0  | 276  | 0.1770          |
| 0.1939        | 24.0  | 288  | 0.1547          |
| 0.1782        | 25.0  | 300  | 0.1297          |
| 0.1669        | 26.0  | 312  | 0.1413          |
| 0.1613        | 27.0  | 324  | 0.1153          |
| 0.153         | 28.0  | 336  | 0.1109          |
| 0.1422        | 29.0  | 348  | 0.1019          |
| 0.1302        | 30.0  | 360  | 0.0928          |
| 0.1213        | 31.0  | 372  | 0.0837          |
| 0.1159        | 32.0  | 384  | 0.0807          |
| 0.1116        | 33.0  | 396  | 0.0757          |
| 0.1064        | 34.0  | 408  | 0.0722          |
| 0.1023        | 35.0  | 420  | 0.0667          |
| 0.0982        | 36.0  | 432  | 0.0656          |
| 0.0942        | 37.0  | 444  | 0.0631          |
| 0.0912        | 38.0  | 456  | 0.0600          |
| 0.0893        | 39.0  | 468  | 0.0593          |
| 0.0884        | 40.0  | 480  | 0.0581          |


### Framework versions

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