---
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: 0.1167

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 2.9273        | 1.0   | 6    | 2.2511          |
| 1.9997        | 2.0   | 12   | 1.7899          |
| 1.5879        | 3.0   | 18   | 1.4061          |
| 1.2647        | 4.0   | 24   | 1.1517          |
| 1.0856        | 5.0   | 30   | 0.9960          |
| 0.9355        | 6.0   | 36   | 0.8942          |
| 0.8536        | 7.0   | 42   | 0.8276          |
| 0.7951        | 8.0   | 48   | 0.7920          |
| 0.7389        | 9.0   | 54   | 0.6889          |
| 0.6781        | 10.0  | 60   | 0.6773          |
| 0.652         | 11.0  | 66   | 0.6381          |
| 0.6175        | 12.0  | 72   | 0.6497          |
| 0.6544        | 13.0  | 78   | 0.6204          |
| 0.6023        | 14.0  | 84   | 0.6196          |
| 0.5674        | 15.0  | 90   | 0.5411          |
| 0.5383        | 16.0  | 96   | 0.5058          |
| 0.5099        | 17.0  | 102  | 0.4813          |
| 0.479         | 18.0  | 108  | 0.4456          |
| 0.4579        | 19.0  | 114  | 0.4139          |
| 0.4268        | 20.0  | 120  | 0.4113          |
| 0.4266        | 21.0  | 126  | 0.3853          |
| 0.3894        | 22.0  | 132  | 0.3489          |
| 0.371         | 23.0  | 138  | 0.3318          |
| 0.3349        | 24.0  | 144  | 0.2997          |
| 0.3145        | 25.0  | 150  | 0.2812          |
| 0.2893        | 26.0  | 156  | 0.2696          |
| 0.2861        | 27.0  | 162  | 0.2355          |
| 0.2639        | 28.0  | 168  | 0.2197          |
| 0.2356        | 29.0  | 174  | 0.2040          |
| 0.2205        | 30.0  | 180  | 0.1951          |
| 0.2146        | 31.0  | 186  | 0.1785          |
| 0.199         | 32.0  | 192  | 0.1649          |
| 0.1886        | 33.0  | 198  | 0.1496          |
| 0.1728        | 34.0  | 204  | 0.1400          |
| 0.1933        | 35.0  | 210  | 0.1311          |
| 0.1546        | 36.0  | 216  | 0.1296          |
| 0.1633        | 37.0  | 222  | 0.1237          |
| 0.1524        | 38.0  | 228  | 0.1202          |
| 0.156         | 39.0  | 234  | 0.1177          |
| 0.1439        | 40.0  | 240  | 0.1167          |


### Framework versions

- Transformers 4.39.1
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2