---
license: mit
tags:
- generated_from_trainer
model-index:
- name: recipe-roberta-lr2e05-wd0.02-bs32
  results: []
---

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# recipe-roberta-lr2e05-wd0.02-bs32

This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2782
- Rmse: 0.5274
- Mse: 0.2782
- Mae: 0.4286

## 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: 2e-05
- train_batch_size: 256
- eval_batch_size: 256
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rmse   | Mse    | Mae    |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|
| 0.2781        | 1.0   | 623  | 0.2736          | 0.5231 | 0.2736 | 0.4122 |
| 0.274         | 2.0   | 1246 | 0.2758          | 0.5251 | 0.2758 | 0.4243 |
| 0.2721        | 3.0   | 1869 | 0.2782          | 0.5274 | 0.2782 | 0.4286 |


### Framework versions

- Transformers 4.19.0.dev0
- Pytorch 1.9.0+cu111
- Datasets 2.4.0
- Tokenizers 0.12.1