---
tags:
- generated_from_trainer
model-index:
- name: calculator_model_test2
  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_test2

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: 0.1318

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 2.9409        | 1.0   | 6    | 2.2604          |
| 2.0221        | 2.0   | 12   | 1.7164          |
| 1.5231        | 3.0   | 18   | 1.2971          |
| 1.1926        | 4.0   | 24   | 1.0828          |
| 1.0328        | 5.0   | 30   | 0.9510          |
| 0.9177        | 6.0   | 36   | 0.8256          |
| 0.8079        | 7.0   | 42   | 0.7383          |
| 0.7261        | 8.0   | 48   | 0.6878          |
| 0.6844        | 9.0   | 54   | 0.6245          |
| 0.6421        | 10.0  | 60   | 0.5833          |
| 0.6088        | 11.0  | 66   | 0.5801          |
| 0.5638        | 12.0  | 72   | 0.5270          |
| 0.5326        | 13.0  | 78   | 0.4975          |
| 0.5134        | 14.0  | 84   | 0.5070          |
| 0.5135        | 15.0  | 90   | 0.4415          |
| 0.468         | 16.0  | 96   | 0.4325          |
| 0.4442        | 17.0  | 102  | 0.4200          |
| 0.4214        | 18.0  | 108  | 0.4241          |
| 0.4115        | 19.0  | 114  | 0.3691          |
| 0.3885        | 20.0  | 120  | 0.3460          |
| 0.3641        | 21.0  | 126  | 0.3261          |
| 0.3445        | 22.0  | 132  | 0.2990          |
| 0.3198        | 23.0  | 138  | 0.2776          |
| 0.3043        | 24.0  | 144  | 0.2610          |
| 0.2885        | 25.0  | 150  | 0.2424          |
| 0.2709        | 26.0  | 156  | 0.2312          |
| 0.2537        | 27.0  | 162  | 0.2321          |
| 0.2475        | 28.0  | 168  | 0.2040          |
| 0.231         | 29.0  | 174  | 0.1949          |
| 0.2228        | 30.0  | 180  | 0.1797          |
| 0.2015        | 31.0  | 186  | 0.1713          |
| 0.202         | 32.0  | 192  | 0.1616          |
| 0.1793        | 33.0  | 198  | 0.1583          |
| 0.1849        | 34.0  | 204  | 0.1512          |
| 0.1726        | 35.0  | 210  | 0.1464          |
| 0.1703        | 36.0  | 216  | 0.1451          |
| 0.1611        | 37.0  | 222  | 0.1394          |
| 0.166         | 38.0  | 228  | 0.1353          |
| 0.1595        | 39.0  | 234  | 0.1326          |
| 0.1526        | 40.0  | 240  | 0.1318          |


### Framework versions

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