---
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: 0.8124

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 3.3916        | 1.0   | 6    | 2.7549          |
| 2.4048        | 2.0   | 12   | 1.9876          |
| 1.8591        | 3.0   | 18   | 1.8948          |
| 1.6663        | 4.0   | 24   | 1.6188          |
| 1.586         | 5.0   | 30   | 1.5494          |
| 1.5053        | 6.0   | 36   | 1.6146          |
| 1.5878        | 7.0   | 42   | 1.5655          |
| 1.5183        | 8.0   | 48   | 1.5487          |
| 1.5695        | 9.0   | 54   | 1.5368          |
| 1.5206        | 10.0  | 60   | 1.5189          |
| 1.4748        | 11.0  | 66   | 1.5096          |
| 1.4616        | 12.0  | 72   | 1.4969          |
| 1.4502        | 13.0  | 78   | 1.4454          |
| 1.4039        | 14.0  | 84   | 1.4019          |
| 1.3864        | 15.0  | 90   | 1.3711          |
| 1.3878        | 16.0  | 96   | 1.3687          |
| 1.3034        | 17.0  | 102  | 1.2939          |
| 1.2768        | 18.0  | 108  | 1.3036          |
| 1.2649        | 19.0  | 114  | 1.2028          |
| 1.26          | 20.0  | 120  | 1.1679          |
| 1.198         | 21.0  | 126  | 1.2472          |
| 1.1989        | 22.0  | 132  | 1.2993          |
| 1.2132        | 23.0  | 138  | 1.0975          |
| 1.1436        | 24.0  | 144  | 1.0720          |
| 1.0686        | 25.0  | 150  | 1.1057          |
| 1.0627        | 26.0  | 156  | 1.0181          |
| 1.0           | 27.0  | 162  | 0.9821          |
| 1.0395        | 28.0  | 168  | 0.9878          |
| 0.9847        | 29.0  | 174  | 0.9409          |
| 0.9655        | 30.0  | 180  | 0.9396          |
| 0.9791        | 31.0  | 186  | 0.9019          |
| 0.9318        | 32.0  | 192  | 0.8818          |
| 0.9103        | 33.0  | 198  | 0.8827          |
| 0.9049        | 34.0  | 204  | 0.8853          |
| 0.9553        | 35.0  | 210  | 0.8960          |
| 0.8924        | 36.0  | 216  | 0.8598          |
| 0.9028        | 37.0  | 222  | 0.8312          |
| 0.8601        | 38.0  | 228  | 0.8177          |
| 0.8744        | 39.0  | 234  | 0.8153          |
| 0.8442        | 40.0  | 240  | 0.8124          |


### Framework versions

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