---
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: 0.4351

## 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: 20

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 3.0154        | 1.0   | 6    | 2.2475          |
| 2.0355        | 2.0   | 12   | 1.7612          |
| 1.6034        | 3.0   | 18   | 1.3483          |
| 1.2488        | 4.0   | 24   | 1.1102          |
| 1.0428        | 5.0   | 30   | 0.9643          |
| 0.9306        | 6.0   | 36   | 0.8449          |
| 0.8076        | 7.0   | 42   | 0.7526          |
| 0.7471        | 8.0   | 48   | 0.6843          |
| 0.6988        | 9.0   | 54   | 0.6786          |
| 0.6455        | 10.0  | 60   | 0.6155          |
| 0.6157        | 11.0  | 66   | 0.5713          |
| 0.5822        | 12.0  | 72   | 0.5486          |
| 0.5499        | 13.0  | 78   | 0.5163          |
| 0.526         | 14.0  | 84   | 0.4938          |
| 0.5133        | 15.0  | 90   | 0.4823          |
| 0.4917        | 16.0  | 96   | 0.4683          |
| 0.4792        | 17.0  | 102  | 0.4520          |
| 0.4677        | 18.0  | 108  | 0.4449          |
| 0.4616        | 19.0  | 114  | 0.4378          |
| 0.4502        | 20.0  | 120  | 0.4351          |


### Framework versions

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