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
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: 0.3798

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 2.8946        | 1.0   | 41   | 2.3454          |
| 2.1015        | 2.0   | 82   | 1.9329          |
| 1.8297        | 3.0   | 123  | 1.6538          |
| 1.4394        | 4.0   | 164  | 1.2883          |
| 1.2328        | 5.0   | 205  | 1.1711          |
| 1.1398        | 6.0   | 246  | 1.0309          |
| 1.0575        | 7.0   | 287  | 0.9585          |
| 0.9607        | 8.0   | 328  | 0.9029          |
| 0.8955        | 9.0   | 369  | 0.8200          |
| 0.8318        | 10.0  | 410  | 0.7741          |
| 0.7961        | 11.0  | 451  | 0.7525          |
| 0.7713        | 12.0  | 492  | 0.7437          |
| 0.7477        | 13.0  | 533  | 0.6924          |
| 0.7197        | 14.0  | 574  | 0.6796          |
| 0.6971        | 15.0  | 615  | 0.6514          |
| 0.6734        | 16.0  | 656  | 0.6209          |
| 0.6593        | 17.0  | 697  | 0.6080          |
| 0.6396        | 18.0  | 738  | 0.5799          |
| 0.6208        | 19.0  | 779  | 0.5706          |
| 0.6004        | 20.0  | 820  | 0.5619          |
| 0.5805        | 21.0  | 861  | 0.5368          |
| 0.5765        | 22.0  | 902  | 0.5237          |
| 0.5591        | 23.0  | 943  | 0.5110          |
| 0.5462        | 24.0  | 984  | 0.5035          |
| 0.5345        | 25.0  | 1025 | 0.4991          |
| 0.5208        | 26.0  | 1066 | 0.4734          |
| 0.5064        | 27.0  | 1107 | 0.4680          |
| 0.4989        | 28.0  | 1148 | 0.4560          |
| 0.4892        | 29.0  | 1189 | 0.4560          |
| 0.4821        | 30.0  | 1230 | 0.4438          |
| 0.4726        | 31.0  | 1271 | 0.4383          |
| 0.4659        | 32.0  | 1312 | 0.4314          |
| 0.453         | 33.0  | 1353 | 0.4122          |
| 0.4466        | 34.0  | 1394 | 0.4115          |
| 0.4393        | 35.0  | 1435 | 0.3996          |
| 0.4315        | 36.0  | 1476 | 0.4007          |
| 0.4266        | 37.0  | 1517 | 0.3949          |
| 0.4219        | 38.0  | 1558 | 0.3878          |
| 0.416         | 39.0  | 1599 | 0.3816          |
| 0.4133        | 40.0  | 1640 | 0.3798          |


### Framework versions

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