---
license: mit
tags:
- generated_from_trainer
model-index:
- name: recipe-roberta-upper-Is
  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-upper-Is

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: 0.7757

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|
| 1.2455        | 1.0   | 1228  | 1.0420          |
| 1.0812        | 2.0   | 2456  | 0.9641          |
| 1.018         | 3.0   | 3684  | 0.9220          |
| 0.977         | 4.0   | 4912  | 0.8943          |
| 0.9451        | 5.0   | 6140  | 0.8726          |
| 0.9254        | 6.0   | 7368  | 0.8574          |
| 0.9074        | 7.0   | 8596  | 0.8404          |
| 0.8944        | 8.0   | 9824  | 0.8290          |
| 0.8797        | 9.0   | 11052 | 0.8258          |
| 0.869         | 10.0  | 12280 | 0.8115          |
| 0.8609        | 11.0  | 13508 | 0.8085          |
| 0.8522        | 12.0  | 14736 | 0.7995          |
| 0.8462        | 13.0  | 15964 | 0.7958          |
| 0.8414        | 14.0  | 17192 | 0.7891          |
| 0.8374        | 15.0  | 18420 | 0.7856          |
| 0.8327        | 16.0  | 19648 | 0.7850          |
| 0.8268        | 17.0  | 20876 | 0.7784          |
| 0.8256        | 18.0  | 22104 | 0.7802          |
| 0.822         | 19.0  | 23332 | 0.7789          |
| 0.8219        | 20.0  | 24560 | 0.7757          |


### Framework versions

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