---
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: 0.7602

## 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: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 40
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.6045        | 1.0   | 3    | 1.5511          |
| 1.3068        | 2.0   | 6    | 1.6045          |
| 1.4803        | 3.0   | 9    | 1.3825          |
| 1.3351        | 4.0   | 12   | 1.3222          |
| 1.259         | 5.0   | 15   | 1.4317          |
| 1.237         | 6.0   | 18   | 1.3714          |
| 1.2416        | 7.0   | 21   | 1.3284          |
| 1.1719        | 8.0   | 24   | 1.2900          |
| 1.1413        | 9.0   | 27   | 1.2300          |
| 1.0976        | 10.0  | 30   | 1.2427          |
| 1.1137        | 11.0  | 33   | 1.1367          |
| 1.0512        | 12.0  | 36   | 1.0890          |
| 1.0176        | 13.0  | 39   | 1.1537          |
| 1.0737        | 14.0  | 42   | 1.1180          |
| 0.9744        | 15.0  | 45   | 1.0935          |
| 0.9448        | 16.0  | 48   | 0.9942          |
| 0.9564        | 17.0  | 51   | 1.0161          |
| 0.9895        | 18.0  | 54   | 0.9486          |
| 0.9088        | 19.0  | 57   | 0.9694          |
| 0.9169        | 20.0  | 60   | 0.9542          |
| 0.8814        | 21.0  | 63   | 0.9105          |
| 0.8952        | 22.0  | 66   | 0.9043          |
| 0.8635        | 23.0  | 69   | 0.8930          |
| 0.8357        | 24.0  | 72   | 0.9285          |
| 0.8266        | 25.0  | 75   | 0.8613          |
| 0.8271        | 26.0  | 78   | 0.9072          |
| 0.7921        | 27.0  | 81   | 0.8674          |
| 0.775         | 28.0  | 84   | 0.8476          |
| 0.7766        | 29.0  | 87   | 0.8600          |
| 0.7682        | 30.0  | 90   | 0.8438          |
| 0.7844        | 31.0  | 93   | 0.8022          |
| 0.7114        | 32.0  | 96   | 0.8131          |
| 0.7391        | 33.0  | 99   | 0.7957          |
| 0.7347        | 34.0  | 102  | 0.7810          |
| 0.7104        | 35.0  | 105  | 0.7740          |
| 0.7248        | 36.0  | 108  | 0.7665          |
| 0.7359        | 37.0  | 111  | 0.7819          |
| 0.7358        | 38.0  | 114  | 0.7668          |
| 0.7235        | 39.0  | 117  | 0.7601          |
| 0.7203        | 40.0  | 120  | 0.7602          |


### Framework versions

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