---
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: 0.1663

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 3.0776        | 1.0   | 5    | 2.3467          |
| 2.1508        | 2.0   | 10   | 1.8830          |
| 1.7317        | 3.0   | 15   | 1.5145          |
| 1.3813        | 4.0   | 20   | 1.1827          |
| 1.1212        | 5.0   | 25   | 0.9861          |
| 0.946         | 6.0   | 30   | 0.8613          |
| 0.8189        | 7.0   | 35   | 0.7596          |
| 0.7274        | 8.0   | 40   | 0.6659          |
| 0.6581        | 9.0   | 45   | 0.6032          |
| 0.6222        | 10.0  | 50   | 0.5788          |
| 0.5988        | 11.0  | 55   | 0.5530          |
| 0.5561        | 12.0  | 60   | 0.5159          |
| 0.5173        | 13.0  | 65   | 0.4937          |
| 0.4961        | 14.0  | 70   | 0.4725          |
| 0.4748        | 15.0  | 75   | 0.4424          |
| 0.4517        | 16.0  | 80   | 0.4525          |
| 0.4394        | 17.0  | 85   | 0.4096          |
| 0.4145        | 18.0  | 90   | 0.3804          |
| 0.3882        | 19.0  | 95   | 0.3678          |
| 0.3736        | 20.0  | 100  | 0.3467          |
| 0.3562        | 21.0  | 105  | 0.3246          |
| 0.3406        | 22.0  | 110  | 0.3180          |
| 0.3231        | 23.0  | 115  | 0.2966          |
| 0.3111        | 24.0  | 120  | 0.2839          |
| 0.2992        | 25.0  | 125  | 0.2701          |
| 0.2815        | 26.0  | 130  | 0.2644          |
| 0.2753        | 27.0  | 135  | 0.2459          |
| 0.2651        | 28.0  | 140  | 0.2375          |
| 0.2532        | 29.0  | 145  | 0.2226          |
| 0.2407        | 30.0  | 150  | 0.2142          |
| 0.2339        | 31.0  | 155  | 0.2031          |
| 0.2218        | 32.0  | 160  | 0.1959          |
| 0.2142        | 33.0  | 165  | 0.1880          |
| 0.2107        | 34.0  | 170  | 0.1871          |
| 0.2062        | 35.0  | 175  | 0.1816          |
| 0.1997        | 36.0  | 180  | 0.1789          |
| 0.1961        | 37.0  | 185  | 0.1740          |
| 0.1929        | 38.0  | 190  | 0.1707          |
| 0.1907        | 39.0  | 195  | 0.1681          |
| 0.1885        | 40.0  | 200  | 0.1663          |


### Framework versions

- Transformers 4.39.1
- Pytorch 2.1.0+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2