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: 1.0657

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 3.3733        | 1.0   | 6    | 2.7350          |
| 2.3614        | 2.0   | 12   | 1.9851          |
| 1.8438        | 3.0   | 18   | 1.7312          |
| 1.6535        | 4.0   | 24   | 1.6088          |
| 1.556         | 5.0   | 30   | 1.5621          |
| 1.5454        | 6.0   | 36   | 1.5615          |
| 1.5344        | 7.0   | 42   | 1.5509          |
| 1.5163        | 8.0   | 48   | 1.5509          |
| 1.5795        | 9.0   | 54   | 1.5492          |
| 1.519         | 10.0  | 60   | 1.5516          |
| 1.5289        | 11.0  | 66   | 1.5473          |
| 1.5264        | 12.0  | 72   | 1.5323          |
| 1.5076        | 13.0  | 78   | 1.5388          |
| 1.5205        | 14.0  | 84   | 1.5447          |
| 1.5105        | 15.0  | 90   | 1.5423          |
| 1.498         | 16.0  | 96   | 1.4954          |
| 1.4573        | 17.0  | 102  | 1.5017          |
| 1.4452        | 18.0  | 108  | 1.5393          |
| 1.4651        | 19.0  | 114  | 1.5054          |
| 1.4528        | 20.0  | 120  | 1.4949          |
| 1.45          | 21.0  | 126  | 1.6039          |
| 1.4467        | 22.0  | 132  | 1.4438          |
| 1.4036        | 23.0  | 138  | 1.4237          |
| 1.3715        | 24.0  | 144  | 1.3951          |
| 1.3506        | 25.0  | 150  | 1.3801          |
| 1.3416        | 26.0  | 156  | 1.3267          |
| 1.3117        | 27.0  | 162  | 1.3218          |
| 1.276         | 28.0  | 168  | 1.2940          |
| 1.2426        | 29.0  | 174  | 1.2387          |
| 1.2274        | 30.0  | 180  | 1.2127          |
| 1.2014        | 31.0  | 186  | 1.1931          |
| 1.1727        | 32.0  | 192  | 1.1761          |
| 1.1874        | 33.0  | 198  | 1.1635          |
| 1.1474        | 34.0  | 204  | 1.1329          |
| 1.1365        | 35.0  | 210  | 1.1083          |
| 1.138         | 36.0  | 216  | 1.0891          |
| 1.1015        | 37.0  | 222  | 1.0833          |
| 1.0828        | 38.0  | 228  | 1.0779          |
| 1.0941        | 39.0  | 234  | 1.0689          |
| 1.0738        | 40.0  | 240  | 1.0657          |


### Framework versions

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