---
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: 0.7830

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 3.427         | 1.0   | 6    | 2.7939          |
| 2.4109        | 2.0   | 12   | 2.0016          |
| 1.8545        | 3.0   | 18   | 1.7404          |
| 1.6739        | 4.0   | 24   | 1.6295          |
| 1.6169        | 5.0   | 30   | 1.5796          |
| 1.5292        | 6.0   | 36   | 1.5329          |
| 1.5561        | 7.0   | 42   | 1.5452          |
| 1.5104        | 8.0   | 48   | 1.4851          |
| 1.449         | 9.0   | 54   | 1.4911          |
| 1.4033        | 10.0  | 60   | 1.5385          |
| 1.596         | 11.0  | 66   | 1.4041          |
| 1.4016        | 12.0  | 72   | 1.4326          |
| 1.3652        | 13.0  | 78   | 1.4192          |
| 1.3674        | 14.0  | 84   | 1.3686          |
| 1.3247        | 15.0  | 90   | 1.3393          |
| 1.2677        | 16.0  | 96   | 1.2822          |
| 1.2501        | 17.0  | 102  | 1.4161          |
| 1.2504        | 18.0  | 108  | 1.2305          |
| 1.2036        | 19.0  | 114  | 1.2746          |
| 1.19          | 20.0  | 120  | 1.1341          |
| 1.1239        | 21.0  | 126  | 1.0830          |
| 1.0561        | 22.0  | 132  | 1.1285          |
| 1.1156        | 23.0  | 138  | 1.1040          |
| 1.0666        | 24.0  | 144  | 1.0544          |
| 1.0425        | 25.0  | 150  | 0.9969          |
| 1.0004        | 26.0  | 156  | 0.9607          |
| 0.9737        | 27.0  | 162  | 0.9564          |
| 0.9604        | 28.0  | 168  | 0.9418          |
| 0.9737        | 29.0  | 174  | 0.8994          |
| 0.9149        | 30.0  | 180  | 0.8790          |
| 0.9073        | 31.0  | 186  | 0.8659          |
| 0.896         | 32.0  | 192  | 0.8466          |
| 0.8752        | 33.0  | 198  | 0.8496          |
| 0.9161        | 34.0  | 204  | 0.8349          |
| 0.8831        | 35.0  | 210  | 0.8165          |
| 0.8352        | 36.0  | 216  | 0.8027          |
| 0.8305        | 37.0  | 222  | 0.7951          |
| 0.8242        | 38.0  | 228  | 0.7902          |
| 0.8416        | 39.0  | 234  | 0.7846          |
| 0.832         | 40.0  | 240  | 0.7830          |


### Framework versions

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