transformers tensorboard safetensors encoder-decoder text2text-generation generated_from_trainer autotrain_compatible endpoints_compatible region:us
---
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
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# 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: 0.6527

## 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
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 3.6778        | 1.0   | 6    | 3.1191          |
| 2.7094        | 2.0   | 12   | 2.1966          |
| 1.9597        | 3.0   | 18   | 1.7446          |
| 1.7331        | 4.0   | 24   | 1.6583          |
| 1.5938        | 5.0   | 30   | 1.6425          |
| 1.5338        | 6.0   | 36   | 1.5592          |
| 1.5077        | 7.0   | 42   | 1.5055          |
| 1.4896        | 8.0   | 48   | 1.4880          |
| 1.4419        | 9.0   | 54   | 1.4727          |
| 1.4062        | 10.0  | 60   | 1.3960          |
| 1.3459        | 11.0  | 66   | 1.3129          |
| 1.2961        | 12.0  | 72   | 1.3037          |
| 1.2268        | 13.0  | 78   | 1.2964          |
| 1.2251        | 14.0  | 84   | 1.1677          |
| 1.1559        | 15.0  | 90   | 1.1312          |
| 1.1157        | 16.0  | 96   | 1.1714          |
| 1.1385        | 17.0  | 102  | 1.1348          |
| 1.0996        | 18.0  | 108  | 1.1113          |
| 1.0407        | 19.0  | 114  | 0.9871          |
| 0.9734        | 20.0  | 120  | 0.9324          |
| 0.9512        | 21.0  | 126  | 0.9743          |
| 0.951         | 22.0  | 132  | 0.9441          |
| 0.917         | 23.0  | 138  | 0.8909          |
| 0.8726        | 24.0  | 144  | 0.9193          |
| 0.8937        | 25.0  | 150  | 0.8686          |
| 0.8351        | 26.0  | 156  | 0.8182          |
| 0.8397        | 27.0  | 162  | 0.7957          |
| 0.8148        | 28.0  | 168  | 0.7851          |
| 0.7866        | 29.0  | 174  | 0.7707          |
| 0.7579        | 30.0  | 180  | 0.7610          |
| 0.7516        | 31.0  | 186  | 0.7259          |
| 0.734         | 32.0  | 192  | 0.7193          |
| 0.7375        | 33.0  | 198  | 0.7392          |
| 0.7284        | 34.0  | 204  | 0.7019          |
| 0.7283        | 35.0  | 210  | 0.6881          |
| 0.6968        | 36.0  | 216  | 0.6745          |
| 0.69          | 37.0  | 222  | 0.6672          |
| 0.6877        | 38.0  | 228  | 0.6606          |
| 0.6741        | 39.0  | 234  | 0.6575          |
| 0.6741        | 40.0  | 240  | 0.6527          |


### Framework versions

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