---
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: 0.0162

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 2.7671        | 1.0   | 6    | 2.1243          |
| 1.8409        | 2.0   | 12   | 1.5234          |
| 1.3096        | 3.0   | 18   | 1.0612          |
| 0.9557        | 4.0   | 24   | 0.8622          |
| 0.8499        | 5.0   | 30   | 0.7836          |
| 0.7285        | 6.0   | 36   | 0.6873          |
| 0.6464        | 7.0   | 42   | 0.5698          |
| 0.5513        | 8.0   | 48   | 0.5230          |
| 0.4906        | 9.0   | 54   | 0.4933          |
| 0.4817        | 10.0  | 60   | 0.4228          |
| 0.388         | 11.0  | 66   | 0.3776          |
| 0.3697        | 12.0  | 72   | 0.3796          |
| 0.3994        | 13.0  | 78   | 0.3245          |
| 0.3127        | 14.0  | 84   | 0.3145          |
| 0.3215        | 15.0  | 90   | 0.2752          |
| 0.2758        | 16.0  | 96   | 0.2400          |
| 0.2507        | 17.0  | 102  | 0.2158          |
| 0.217         | 18.0  | 108  | 0.2150          |
| 0.2223        | 19.0  | 114  | 0.1940          |
| 0.1746        | 20.0  | 120  | 0.1826          |
| 0.1625        | 21.0  | 126  | 0.1445          |
| 0.1386        | 22.0  | 132  | 0.1421          |
| 0.1432        | 23.0  | 138  | 0.1241          |
| 0.1329        | 24.0  | 144  | 0.1104          |
| 0.1413        | 25.0  | 150  | 0.0889          |
| 0.1093        | 26.0  | 156  | 0.0765          |
| 0.0869        | 27.0  | 162  | 0.0596          |
| 0.0677        | 28.0  | 168  | 0.0495          |
| 0.0646        | 29.0  | 174  | 0.0397          |
| 0.0539        | 30.0  | 180  | 0.0359          |
| 0.0502        | 31.0  | 186  | 0.0339          |
| 0.0399        | 32.0  | 192  | 0.0285          |
| 0.0453        | 33.0  | 198  | 0.0239          |
| 0.0351        | 34.0  | 204  | 0.0223          |
| 0.039         | 35.0  | 210  | 0.0199          |
| 0.0255        | 36.0  | 216  | 0.0195          |
| 0.0259        | 37.0  | 222  | 0.0177          |
| 0.0241        | 38.0  | 228  | 0.0168          |
| 0.0251        | 39.0  | 234  | 0.0163          |
| 0.0239        | 40.0  | 240  | 0.0162          |


### Framework versions

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