---
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: 0.7222

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 3.4163        | 1.0   | 6    | 2.8253          |
| 2.463         | 2.0   | 12   | 2.0984          |
| 1.8832        | 3.0   | 18   | 1.7286          |
| 1.6613        | 4.0   | 24   | 1.6379          |
| 1.5863        | 5.0   | 30   | 1.5767          |
| 1.5021        | 6.0   | 36   | 1.5366          |
| 1.4813        | 7.0   | 42   | 1.5000          |
| 1.4805        | 8.0   | 48   | 1.4118          |
| 1.4184        | 9.0   | 54   | 1.4590          |
| 1.3594        | 10.0  | 60   | 1.3815          |
| 1.3154        | 11.0  | 66   | 1.3336          |
| 1.3036        | 12.0  | 72   | 1.3426          |
| 1.2467        | 13.0  | 78   | 1.2566          |
| 1.1995        | 14.0  | 84   | 1.1788          |
| 1.1292        | 15.0  | 90   | 1.1819          |
| 1.1157        | 16.0  | 96   | 1.1389          |
| 1.1397        | 17.0  | 102  | 1.0924          |
| 1.1128        | 18.0  | 108  | 1.0831          |
| 1.0476        | 19.0  | 114  | 1.0312          |
| 1.0193        | 20.0  | 120  | 0.9820          |
| 1.0701        | 21.0  | 126  | 0.9712          |
| 0.9618        | 22.0  | 132  | 0.9326          |
| 0.9227        | 23.0  | 138  | 0.9335          |
| 0.9399        | 24.0  | 144  | 0.9046          |
| 0.9318        | 25.0  | 150  | 0.8951          |
| 0.9068        | 26.0  | 156  | 0.8831          |
| 0.8687        | 27.0  | 162  | 0.8611          |
| 0.848         | 28.0  | 168  | 0.8884          |
| 0.8559        | 29.0  | 174  | 0.8844          |
| 0.8439        | 30.0  | 180  | 0.8729          |
| 0.8453        | 31.0  | 186  | 0.8323          |
| 0.8154        | 32.0  | 192  | 0.8130          |
| 0.788         | 33.0  | 198  | 0.8038          |
| 0.7912        | 34.0  | 204  | 0.7717          |
| 0.7823        | 35.0  | 210  | 0.7539          |
| 0.7658        | 36.0  | 216  | 0.7556          |
| 0.7617        | 37.0  | 222  | 0.7427          |
| 0.7396        | 38.0  | 228  | 0.7340          |
| 0.7621        | 39.0  | 234  | 0.7243          |
| 0.7324        | 40.0  | 240  | 0.7222          |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2