---
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: 0.7556

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 3.1456        | 1.0   | 6    | 2.5517          |
| 2.1398        | 2.0   | 12   | 1.8461          |
| 1.7232        | 3.0   | 18   | 1.6222          |
| 1.6435        | 4.0   | 24   | 1.6869          |
| 1.6417        | 5.0   | 30   | 1.5262          |
| 1.4634        | 6.0   | 36   | 1.4824          |
| 1.4507        | 7.0   | 42   | 1.8991          |
| 1.54          | 8.0   | 48   | 1.4370          |
| 1.483         | 9.0   | 54   | 1.4203          |
| 1.4086        | 10.0  | 60   | 1.4349          |
| 1.4063        | 11.0  | 66   | 1.5677          |
| 1.4235        | 12.0  | 72   | 1.3646          |
| 1.2839        | 13.0  | 78   | 1.2074          |
| 1.2127        | 14.0  | 84   | 1.2050          |
| 1.1447        | 15.0  | 90   | 1.1797          |
| 1.1515        | 16.0  | 96   | 1.1440          |
| 1.1138        | 17.0  | 102  | 1.1293          |
| 1.07          | 18.0  | 108  | 1.1061          |
| 1.0295        | 19.0  | 114  | 1.1572          |
| 1.1086        | 20.0  | 120  | 1.3547          |
| 1.1835        | 21.0  | 126  | 1.1306          |
| 1.0968        | 22.0  | 132  | 1.0152          |
| 1.0012        | 23.0  | 138  | 1.0467          |
| 1.0088        | 24.0  | 144  | 0.9831          |
| 0.9616        | 25.0  | 150  | 0.9141          |
| 0.9385        | 26.0  | 156  | 0.9093          |
| 0.8887        | 27.0  | 162  | 0.9188          |
| 0.9549        | 28.0  | 168  | 0.9369          |
| 0.8972        | 29.0  | 174  | 0.8518          |
| 0.8973        | 30.0  | 180  | 0.8424          |
| 0.8419        | 31.0  | 186  | 0.8858          |
| 0.8887        | 32.0  | 192  | 0.8781          |
| 0.8509        | 33.0  | 198  | 0.8372          |
| 0.8473        | 34.0  | 204  | 0.8021          |
| 0.8361        | 35.0  | 210  | 0.7912          |
| 0.8037        | 36.0  | 216  | 0.7771          |
| 0.7776        | 37.0  | 222  | 0.7742          |
| 0.7767        | 38.0  | 228  | 0.7602          |
| 0.795         | 39.0  | 234  | 0.7568          |
| 0.8284        | 40.0  | 240  | 0.7556          |


### Framework versions

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