---
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: 0.9144

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 3.3969        | 1.0   | 6    | 2.7182          |
| 2.3315        | 2.0   | 12   | 1.9518          |
| 1.7958        | 3.0   | 18   | 1.6778          |
| 1.6131        | 4.0   | 24   | 1.5845          |
| 1.5584        | 5.0   | 30   | 1.5760          |
| 1.548         | 6.0   | 36   | 1.5781          |
| 1.5369        | 7.0   | 42   | 1.5516          |
| 1.5412        | 8.0   | 48   | 1.6085          |
| 1.5311        | 9.0   | 54   | 1.5398          |
| 1.5435        | 10.0  | 60   | 1.5587          |
| 1.5138        | 11.0  | 66   | 1.5452          |
| 1.5192        | 12.0  | 72   | 1.5345          |
| 1.4818        | 13.0  | 78   | 1.6037          |
| 1.4935        | 14.0  | 84   | 1.5391          |
| 1.4396        | 15.0  | 90   | 1.8690          |
| 1.4801        | 16.0  | 96   | 1.4349          |
| 1.4051        | 17.0  | 102  | 1.3765          |
| 1.3563        | 18.0  | 108  | 1.3655          |
| 1.3188        | 19.0  | 114  | 1.3211          |
| 1.3023        | 20.0  | 120  | 1.2695          |
| 1.259         | 21.0  | 126  | 1.2644          |
| 1.2366        | 22.0  | 132  | 1.2287          |
| 1.2252        | 23.0  | 138  | 1.1858          |
| 1.2205        | 24.0  | 144  | 1.1587          |
| 1.1593        | 25.0  | 150  | 1.1855          |
| 1.1639        | 26.0  | 156  | 1.1943          |
| 1.1617        | 27.0  | 162  | 1.1305          |
| 1.1493        | 28.0  | 168  | 1.0901          |
| 1.1031        | 29.0  | 174  | 1.0640          |
| 1.0901        | 30.0  | 180  | 1.0242          |
| 1.0582        | 31.0  | 186  | 1.0066          |
| 1.0423        | 32.0  | 192  | 0.9996          |
| 1.0239        | 33.0  | 198  | 0.9732          |
| 1.0151        | 34.0  | 204  | 0.9871          |
| 1.0452        | 35.0  | 210  | 0.9655          |
| 1.009         | 36.0  | 216  | 0.9411          |
| 0.9819        | 37.0  | 222  | 0.9342          |
| 0.9773        | 38.0  | 228  | 0.9235          |
| 0.9743        | 39.0  | 234  | 0.9175          |
| 0.9722        | 40.0  | 240  | 0.9144          |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.1.1+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2