---
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: 0.8456

## 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: 0.0001
- 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 3.5829        | 1.0   | 6    | 3.1864          |
| 3.0602        | 2.0   | 12   | 2.8642          |
| 2.7987        | 3.0   | 18   | 2.6521          |
| 2.6074        | 4.0   | 24   | 2.5190          |
| 2.5114        | 5.0   | 30   | 2.4076          |
| 2.3968        | 6.0   | 36   | 2.3019          |
| 2.2612        | 7.0   | 42   | 2.2065          |
| 2.1937        | 8.0   | 48   | 2.1258          |
| 2.1043        | 9.0   | 54   | 2.0391          |
| 2.0193        | 10.0  | 60   | 1.9546          |
| 1.9518        | 11.0  | 66   | 1.8654          |
| 1.8505        | 12.0  | 72   | 1.7672          |
| 1.7482        | 13.0  | 78   | 1.6792          |
| 1.695         | 14.0  | 84   | 1.6032          |
| 1.6015        | 15.0  | 90   | 1.5389          |
| 1.5568        | 16.0  | 96   | 1.4837          |
| 1.4888        | 17.0  | 102  | 1.4349          |
| 1.4429        | 18.0  | 108  | 1.3923          |
| 1.392         | 19.0  | 114  | 1.3534          |
| 1.3448        | 20.0  | 120  | 1.3181          |
| 1.306         | 21.0  | 126  | 1.2881          |
| 1.2845        | 22.0  | 132  | 1.2568          |
| 1.2813        | 23.0  | 138  | 1.2262          |
| 1.2479        | 24.0  | 144  | 1.1989          |
| 1.2164        | 25.0  | 150  | 1.1719          |
| 1.2116        | 26.0  | 156  | 1.1514          |
| 1.1514        | 27.0  | 162  | 1.1247          |
| 1.1571        | 28.0  | 168  | 1.1012          |
| 1.1334        | 29.0  | 174  | 1.0781          |
| 1.1193        | 30.0  | 180  | 1.0559          |
| 1.0721        | 31.0  | 186  | 1.0307          |
| 1.041         | 32.0  | 192  | 1.0095          |
| 1.02          | 33.0  | 198  | 0.9873          |
| 1.0145        | 34.0  | 204  | 0.9694          |
| 0.9817        | 35.0  | 210  | 0.9526          |
| 0.9905        | 36.0  | 216  | 0.9391          |
| 0.9691        | 37.0  | 222  | 0.9243          |
| 0.9294        | 38.0  | 228  | 0.9117          |
| 0.9265        | 39.0  | 234  | 0.8995          |
| 0.9165        | 40.0  | 240  | 0.8897          |
| 0.9059        | 41.0  | 246  | 0.8805          |
| 0.8916        | 42.0  | 252  | 0.8727          |
| 0.8632        | 43.0  | 258  | 0.8659          |
| 0.8767        | 44.0  | 264  | 0.8608          |
| 0.8878        | 45.0  | 270  | 0.8564          |
| 0.8914        | 46.0  | 276  | 0.8522          |
| 0.8632        | 47.0  | 282  | 0.8491          |
| 0.8638        | 48.0  | 288  | 0.8469          |
| 0.843         | 49.0  | 294  | 0.8460          |
| 0.8565        | 50.0  | 300  | 0.8456          |


### Framework versions

- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2