---
base_model: LordAbsurd2137/calculator_model_test2
tags:
- generated_from_trainer
model-index:
- name: calculator_model_test2
  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_test2

This model is a fine-tuned version of [LordAbsurd2137/calculator_model_test2](https://huggingface.co/LordAbsurd2137/calculator_model_test2) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0222

## 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: 50

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.0953        | 1.0   | 6    | 0.6430          |
| 0.5025        | 2.0   | 12   | 0.4289          |
| 0.3633        | 3.0   | 18   | 0.3352          |
| 0.3426        | 4.0   | 24   | 0.2911          |
| 0.284         | 5.0   | 30   | 0.2464          |
| 0.2408        | 6.0   | 36   | 0.1998          |
| 0.2168        | 7.0   | 42   | 0.1874          |
| 0.1815        | 8.0   | 48   | 0.1592          |
| 0.1684        | 9.0   | 54   | 0.1547          |
| 0.1604        | 10.0  | 60   | 0.1707          |
| 0.1603        | 11.0  | 66   | 0.1516          |
| 0.1498        | 12.0  | 72   | 0.1220          |
| 0.1307        | 13.0  | 78   | 0.1079          |
| 0.1154        | 14.0  | 84   | 0.1270          |
| 0.1157        | 15.0  | 90   | 0.0997          |
| 0.1038        | 16.0  | 96   | 0.0919          |
| 0.1005        | 17.0  | 102  | 0.1005          |
| 0.097         | 18.0  | 108  | 0.1103          |
| 0.1019        | 19.0  | 114  | 0.1285          |
| 0.1067        | 20.0  | 120  | 0.1202          |
| 0.0995        | 21.0  | 126  | 0.0810          |
| 0.0799        | 22.0  | 132  | 0.0774          |
| 0.0723        | 23.0  | 138  | 0.0678          |
| 0.0656        | 24.0  | 144  | 0.0655          |
| 0.0666        | 25.0  | 150  | 0.0637          |
| 0.0606        | 26.0  | 156  | 0.0541          |
| 0.0562        | 27.0  | 162  | 0.0497          |
| 0.0524        | 28.0  | 168  | 0.0519          |
| 0.0556        | 29.0  | 174  | 0.0616          |
| 0.0584        | 30.0  | 180  | 0.0448          |
| 0.0496        | 31.0  | 186  | 0.0451          |
| 0.0484        | 32.0  | 192  | 0.0413          |
| 0.0454        | 33.0  | 198  | 0.0444          |
| 0.0411        | 34.0  | 204  | 0.0423          |
| 0.0395        | 35.0  | 210  | 0.0376          |
| 0.0383        | 36.0  | 216  | 0.0358          |
| 0.0373        | 37.0  | 222  | 0.0326          |
| 0.035         | 38.0  | 228  | 0.0286          |
| 0.0323        | 39.0  | 234  | 0.0307          |
| 0.0306        | 40.0  | 240  | 0.0279          |
| 0.029         | 41.0  | 246  | 0.0265          |
| 0.0296        | 42.0  | 252  | 0.0259          |
| 0.0263        | 43.0  | 258  | 0.0259          |
| 0.0244        | 44.0  | 264  | 0.0232          |
| 0.0264        | 45.0  | 270  | 0.0234          |
| 0.0263        | 46.0  | 276  | 0.0226          |
| 0.0223        | 47.0  | 282  | 0.0227          |
| 0.0225        | 48.0  | 288  | 0.0224          |
| 0.0218        | 49.0  | 294  | 0.0222          |
| 0.0216        | 50.0  | 300  | 0.0222          |


### Framework versions

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