---
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: 0.1435

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 3.0221        | 1.0   | 6    | 2.2896          |
| 2.055         | 2.0   | 12   | 1.7915          |
| 1.6422        | 3.0   | 18   | 1.4365          |
| 1.2892        | 4.0   | 24   | 1.1407          |
| 1.0661        | 5.0   | 30   | 0.9557          |
| 0.9138        | 6.0   | 36   | 0.8362          |
| 0.8297        | 7.0   | 42   | 0.7370          |
| 0.7493        | 8.0   | 48   | 0.6858          |
| 0.7285        | 9.0   | 54   | 0.6761          |
| 0.6576        | 10.0  | 60   | 0.6179          |
| 0.6126        | 11.0  | 66   | 0.5748          |
| 0.57          | 12.0  | 72   | 0.5858          |
| 0.5453        | 13.0  | 78   | 0.5193          |
| 0.5309        | 14.0  | 84   | 0.5104          |
| 0.5394        | 15.0  | 90   | 0.5115          |
| 0.5024        | 16.0  | 96   | 0.4763          |
| 0.4642        | 17.0  | 102  | 0.4389          |
| 0.4478        | 18.0  | 108  | 0.4080          |
| 0.424         | 19.0  | 114  | 0.3999          |
| 0.4152        | 20.0  | 120  | 0.3876          |
| 0.3966        | 21.0  | 126  | 0.3982          |
| 0.3971        | 22.0  | 132  | 0.3669          |
| 0.369         | 23.0  | 138  | 0.3579          |
| 0.3584        | 24.0  | 144  | 0.3336          |
| 0.3577        | 25.0  | 150  | 0.3271          |
| 0.3279        | 26.0  | 156  | 0.3005          |
| 0.315         | 27.0  | 162  | 0.2841          |
| 0.3104        | 28.0  | 168  | 0.3149          |
| 0.3129        | 29.0  | 174  | 0.2906          |
| 0.2906        | 30.0  | 180  | 0.2925          |
| 0.2778        | 31.0  | 186  | 0.2644          |
| 0.276         | 32.0  | 192  | 0.2512          |
| 0.2685        | 33.0  | 198  | 0.2494          |
| 0.2524        | 34.0  | 204  | 0.2305          |
| 0.2488        | 35.0  | 210  | 0.2199          |
| 0.2411        | 36.0  | 216  | 0.2099          |
| 0.2167        | 37.0  | 222  | 0.2022          |
| 0.2175        | 38.0  | 228  | 0.1934          |
| 0.2113        | 39.0  | 234  | 0.1841          |
| 0.1923        | 40.0  | 240  | 0.1751          |
| 0.1908        | 41.0  | 246  | 0.1732          |
| 0.1857        | 42.0  | 252  | 0.1669          |
| 0.1858        | 43.0  | 258  | 0.1598          |
| 0.184         | 44.0  | 264  | 0.1600          |
| 0.1772        | 45.0  | 270  | 0.1519          |
| 0.1774        | 46.0  | 276  | 0.1533          |
| 0.1669        | 47.0  | 282  | 0.1490          |
| 0.1719        | 48.0  | 288  | 0.1454          |
| 0.1631        | 49.0  | 294  | 0.1447          |
| 0.1575        | 50.0  | 300  | 0.1435          |


### Framework versions

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