---
license: mit
tags:
- generated_from_trainer
model-index:
- name: recipe-roberta-s
  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. -->

# recipe-roberta-s

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: 0.8870

## 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: 20
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 1.3387        | 1.0   | 820   | 1.1529          |
| 1.187         | 2.0   | 1640  | 1.0643          |
| 1.1213        | 3.0   | 2460  | 1.0371          |
| 1.0859        | 4.0   | 3280  | 1.0000          |
| 1.0566        | 5.0   | 4100  | 0.9798          |
| 1.0338        | 6.0   | 4920  | 0.9637          |
| 1.0162        | 7.0   | 5740  | 0.9538          |
| 1.0003        | 8.0   | 6560  | 0.9332          |
| 0.9878        | 9.0   | 7380  | 0.9252          |
| 0.9767        | 10.0  | 8200  | 0.9189          |
| 0.9664        | 11.0  | 9020  | 0.9145          |
| 0.9627        | 12.0  | 9840  | 0.9065          |
| 0.9539        | 13.0  | 10660 | 0.9027          |
| 0.9461        | 14.0  | 11480 | 0.9029          |
| 0.9435        | 15.0  | 12300 | 0.8949          |
| 0.9404        | 16.0  | 13120 | 0.8924          |
| 0.9359        | 17.0  | 13940 | 0.8874          |
| 0.9307        | 18.0  | 14760 | 0.8842          |
| 0.9295        | 19.0  | 15580 | 0.8853          |
| 0.9263        | 20.0  | 16400 | 0.8870          |


### Framework versions

- Transformers 4.19.0.dev0
- Pytorch 1.11.0+cu102
- Datasets 2.3.2
- Tokenizers 0.12.1