---
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: 0.0653

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 3.0601        | 1.0   | 5    | 2.3320          |
| 2.1438        | 2.0   | 10   | 1.8625          |
| 1.719         | 3.0   | 15   | 1.4731          |
| 1.3536        | 4.0   | 20   | 1.1824          |
| 1.1078        | 5.0   | 25   | 1.0030          |
| 0.9378        | 6.0   | 30   | 0.8243          |
| 0.814         | 7.0   | 35   | 0.7440          |
| 0.7285        | 8.0   | 40   | 0.6701          |
| 0.6557        | 9.0   | 45   | 0.5971          |
| 0.6103        | 10.0  | 50   | 0.5747          |
| 0.5812        | 11.0  | 55   | 0.5327          |
| 0.5484        | 12.0  | 60   | 0.5351          |
| 0.5322        | 13.0  | 65   | 0.4831          |
| 0.485         | 14.0  | 70   | 0.4645          |
| 0.4599        | 15.0  | 75   | 0.4106          |
| 0.4148        | 16.0  | 80   | 0.3721          |
| 0.3847        | 17.0  | 85   | 0.3418          |
| 0.3717        | 18.0  | 90   | 0.3214          |
| 0.3406        | 19.0  | 95   | 0.3021          |
| 0.3133        | 20.0  | 100  | 0.2631          |
| 0.2902        | 21.0  | 105  | 0.2421          |
| 0.2558        | 22.0  | 110  | 0.2098          |
| 0.2351        | 23.0  | 115  | 0.1821          |
| 0.2115        | 24.0  | 120  | 0.1597          |
| 0.1909        | 25.0  | 125  | 0.1435          |
| 0.1745        | 26.0  | 130  | 0.1364          |
| 0.1612        | 27.0  | 135  | 0.1223          |
| 0.1516        | 28.0  | 140  | 0.1127          |
| 0.1379        | 29.0  | 145  | 0.1012          |
| 0.1281        | 30.0  | 150  | 0.0945          |
| 0.1232        | 31.0  | 155  | 0.0858          |
| 0.1153        | 32.0  | 160  | 0.0822          |
| 0.1077        | 33.0  | 165  | 0.0798          |
| 0.1039        | 34.0  | 170  | 0.0764          |
| 0.1025        | 35.0  | 175  | 0.0719          |
| 0.0989        | 36.0  | 180  | 0.0685          |
| 0.0955        | 37.0  | 185  | 0.0685          |
| 0.0949        | 38.0  | 190  | 0.0660          |
| 0.0915        | 39.0  | 195  | 0.0653          |
| 0.0901        | 40.0  | 200  | 0.0653          |


### Framework versions

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