---
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: 0.6779

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 3.4465        | 1.0   | 6    | 2.8008          |
| 2.4324        | 2.0   | 12   | 2.0258          |
| 1.8717        | 3.0   | 18   | 1.7217          |
| 1.6802        | 4.0   | 24   | 1.6377          |
| 1.5784        | 5.0   | 30   | 1.5571          |
| 1.5182        | 6.0   | 36   | 1.5249          |
| 1.4891        | 7.0   | 42   | 1.5271          |
| 1.491         | 8.0   | 48   | 1.5028          |
| 1.4957        | 9.0   | 54   | 1.4941          |
| 1.4419        | 10.0  | 60   | 1.4593          |
| 1.4233        | 11.0  | 66   | 1.4681          |
| 1.4452        | 12.0  | 72   | 1.3954          |
| 1.3414        | 13.0  | 78   | 1.3100          |
| 1.2882        | 14.0  | 84   | 1.2658          |
| 1.2233        | 15.0  | 90   | 1.1740          |
| 1.1812        | 16.0  | 96   | 1.1963          |
| 1.1567        | 17.0  | 102  | 1.3220          |
| 1.1566        | 18.0  | 108  | 1.1536          |
| 1.0904        | 19.0  | 114  | 1.1253          |
| 1.0811        | 20.0  | 120  | 1.0386          |
| 1.0245        | 21.0  | 126  | 1.0415          |
| 1.0028        | 22.0  | 132  | 0.9741          |
| 0.9561        | 23.0  | 138  | 0.9236          |
| 0.9204        | 24.0  | 144  | 0.9070          |
| 0.9064        | 25.0  | 150  | 0.8667          |
| 0.8868        | 26.0  | 156  | 0.8357          |
| 0.8513        | 27.0  | 162  | 0.8124          |
| 0.8199        | 28.0  | 168  | 0.8041          |
| 0.7951        | 29.0  | 174  | 0.7810          |
| 0.8079        | 30.0  | 180  | 0.7692          |
| 0.7769        | 31.0  | 186  | 0.7839          |
| 0.782         | 32.0  | 192  | 0.7484          |
| 0.7378        | 33.0  | 198  | 0.7386          |
| 0.7591        | 34.0  | 204  | 0.7165          |
| 0.7269        | 35.0  | 210  | 0.7015          |
| 0.7163        | 36.0  | 216  | 0.7006          |
| 0.7231        | 37.0  | 222  | 0.6897          |
| 0.7088        | 38.0  | 228  | 0.6824          |
| 0.7067        | 39.0  | 234  | 0.6795          |
| 0.7004        | 40.0  | 240  | 0.6779          |


### Framework versions

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