---
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: 0.5850

## 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: 50

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 3.396         | 1.0   | 6    | 2.7406          |
| 2.3939        | 2.0   | 12   | 1.9948          |
| 1.7939        | 3.0   | 18   | 1.6558          |
| 1.5985        | 4.0   | 24   | 1.6015          |
| 1.6024        | 5.0   | 30   | 1.5540          |
| 1.5383        | 6.0   | 36   | 1.5356          |
| 1.4729        | 7.0   | 42   | 1.5437          |
| 1.4981        | 8.0   | 48   | 1.4425          |
| 1.3622        | 9.0   | 54   | 1.4418          |
| 1.3585        | 10.0  | 60   | 1.3501          |
| 1.2883        | 11.0  | 66   | 1.2932          |
| 1.2361        | 12.0  | 72   | 1.3210          |
| 1.2274        | 13.0  | 78   | 1.2883          |
| 1.2667        | 14.0  | 84   | 1.2169          |
| 1.1679        | 15.0  | 90   | 1.1638          |
| 1.1237        | 16.0  | 96   | 1.1617          |
| 1.144         | 17.0  | 102  | 1.0919          |
| 1.0771        | 18.0  | 108  | 1.0928          |
| 1.059         | 19.0  | 114  | 1.0184          |
| 1.0024        | 20.0  | 120  | 0.9676          |
| 0.9949        | 21.0  | 126  | 0.9555          |
| 0.986         | 22.0  | 132  | 1.0286          |
| 1.0278        | 23.0  | 138  | 0.9337          |
| 0.9413        | 24.0  | 144  | 0.9162          |
| 0.912         | 25.0  | 150  | 0.9396          |
| 0.9621        | 26.0  | 156  | 0.8786          |
| 0.9102        | 27.0  | 162  | 0.8947          |
| 0.9384        | 28.0  | 168  | 0.8820          |
| 0.868         | 29.0  | 174  | 0.8468          |
| 0.8512        | 30.0  | 180  | 0.8478          |
| 0.8302        | 31.0  | 186  | 0.8099          |
| 0.8327        | 32.0  | 192  | 0.7622          |
| 0.8193        | 33.0  | 198  | 0.7596          |
| 0.7834        | 34.0  | 204  | 0.7329          |
| 0.7608        | 35.0  | 210  | 0.7229          |
| 0.7686        | 36.0  | 216  | 0.7257          |
| 0.7262        | 37.0  | 222  | 0.6940          |
| 0.7342        | 38.0  | 228  | 0.7117          |
| 0.7209        | 39.0  | 234  | 0.6646          |
| 0.7099        | 40.0  | 240  | 0.6530          |
| 0.6908        | 41.0  | 246  | 0.6397          |
| 0.6895        | 42.0  | 252  | 0.6356          |
| 0.6761        | 43.0  | 258  | 0.6202          |
| 0.668         | 44.0  | 264  | 0.6174          |
| 0.6735        | 45.0  | 270  | 0.6074          |
| 0.6502        | 46.0  | 276  | 0.6019          |
| 0.6427        | 47.0  | 282  | 0.5953          |
| 0.6326        | 48.0  | 288  | 0.5904          |
| 0.6467        | 49.0  | 294  | 0.5872          |
| 0.6307        | 50.0  | 300  | 0.5850          |


### Framework versions

- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2