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: 0.1268

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 2.9786        | 1.0   | 6    | 2.2468          |
| 2.0116        | 2.0   | 12   | 1.7255          |
| 1.5628        | 3.0   | 18   | 1.3183          |
| 1.2273        | 4.0   | 24   | 1.0790          |
| 1.0219        | 5.0   | 30   | 0.9549          |
| 0.9147        | 6.0   | 36   | 0.8300          |
| 0.7993        | 7.0   | 42   | 0.7326          |
| 0.7256        | 8.0   | 48   | 0.7028          |
| 0.6677        | 9.0   | 54   | 0.6345          |
| 0.6369        | 10.0  | 60   | 0.5926          |
| 0.5883        | 11.0  | 66   | 0.5722          |
| 0.5506        | 12.0  | 72   | 0.5835          |
| 0.5504        | 13.0  | 78   | 0.5491          |
| 0.5232        | 14.0  | 84   | 0.5165          |
| 0.4977        | 15.0  | 90   | 0.4719          |
| 0.4754        | 16.0  | 96   | 0.4910          |
| 0.4706        | 17.0  | 102  | 0.4623          |
| 0.4659        | 18.0  | 108  | 0.4202          |
| 0.4186        | 19.0  | 114  | 0.3720          |
| 0.385         | 20.0  | 120  | 0.3768          |
| 0.3692        | 21.0  | 126  | 0.3751          |
| 0.3775        | 22.0  | 132  | 0.3508          |
| 0.3359        | 23.0  | 138  | 0.3427          |
| 0.3412        | 24.0  | 144  | 0.3015          |
| 0.3128        | 25.0  | 150  | 0.2826          |
| 0.2892        | 26.0  | 156  | 0.2688          |
| 0.28          | 27.0  | 162  | 0.2512          |
| 0.2653        | 28.0  | 168  | 0.2385          |
| 0.255         | 29.0  | 174  | 0.2275          |
| 0.249         | 30.0  | 180  | 0.2108          |
| 0.2316        | 31.0  | 186  | 0.1894          |
| 0.2184        | 32.0  | 192  | 0.1777          |
| 0.2057        | 33.0  | 198  | 0.1644          |
| 0.186         | 34.0  | 204  | 0.1527          |
| 0.1853        | 35.0  | 210  | 0.1484          |
| 0.1721        | 36.0  | 216  | 0.1380          |
| 0.165         | 37.0  | 222  | 0.1336          |
| 0.1544        | 38.0  | 228  | 0.1299          |
| 0.153         | 39.0  | 234  | 0.1288          |
| 0.158         | 40.0  | 240  | 0.1268          |


### Framework versions

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