---
library_name: transformers
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: 0.0853

## 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: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 40

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.9446        | 1.0   | 6    | 2.2356          |
| 1.9974        | 2.0   | 12   | 1.7231          |
| 1.5322        | 3.0   | 18   | 1.3437          |
| 1.2026        | 4.0   | 24   | 1.0972          |
| 1.0097        | 5.0   | 30   | 0.9458          |
| 0.9242        | 6.0   | 36   | 0.9294          |
| 0.8364        | 7.0   | 42   | 0.7825          |
| 0.7532        | 8.0   | 48   | 0.7002          |
| 0.6887        | 9.0   | 54   | 0.6662          |
| 0.649         | 10.0  | 60   | 0.6007          |
| 0.6128        | 11.0  | 66   | 0.5712          |
| 0.5774        | 12.0  | 72   | 0.5336          |
| 0.538         | 13.0  | 78   | 0.5130          |
| 0.5073        | 14.0  | 84   | 0.4805          |
| 0.482         | 15.0  | 90   | 0.4615          |
| 0.4972        | 16.0  | 96   | 0.4641          |
| 0.4565        | 17.0  | 102  | 0.4172          |
| 0.4232        | 18.0  | 108  | 0.3793          |
| 0.4058        | 19.0  | 114  | 0.3745          |
| 0.3859        | 20.0  | 120  | 0.3502          |
| 0.3611        | 21.0  | 126  | 0.3364          |
| 0.341         | 22.0  | 132  | 0.2922          |
| 0.3166        | 23.0  | 138  | 0.2788          |
| 0.2848        | 24.0  | 144  | 0.2481          |
| 0.2663        | 25.0  | 150  | 0.2436          |
| 0.2558        | 26.0  | 156  | 0.2127          |
| 0.2335        | 27.0  | 162  | 0.1852          |
| 0.2041        | 28.0  | 168  | 0.1597          |
| 0.183         | 29.0  | 174  | 0.1454          |
| 0.172         | 30.0  | 180  | 0.1328          |
| 0.1634        | 31.0  | 186  | 0.1228          |
| 0.1518        | 32.0  | 192  | 0.1140          |
| 0.1483        | 33.0  | 198  | 0.1073          |
| 0.1429        | 34.0  | 204  | 0.1027          |
| 0.1344        | 35.0  | 210  | 0.0978          |
| 0.1299        | 36.0  | 216  | 0.0929          |
| 0.1298        | 37.0  | 222  | 0.0899          |
| 0.1247        | 38.0  | 228  | 0.0917          |
| 0.1253        | 39.0  | 234  | 0.0869          |
| 0.1141        | 40.0  | 240  | 0.0853          |


### Framework versions

- Transformers 4.48.0
- Pytorch 2.5.1+cu124
- Datasets 3.3.2
- Tokenizers 0.21.0