---
license: mit
tags:
- generated_from_keras_callback
model-index:
- name: wine-reviews-roberta
  results: []
---

<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->

# wine-reviews-roberta

This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 0.2715
- Train Acc: 0.8906
- Validation Loss: 0.6536
- Validation Acc: 0.7701
- Epoch: 4

## 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:
- optimizer: {'name': 'Adam', 'weight_decay': None, 'clipnorm': None, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': True, 'is_legacy_optimizer': False, 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 24455, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False}
- training_precision: float32

### Training results

| Train Loss | Train Acc | Validation Loss | Validation Acc | Epoch |
|:----------:|:---------:|:---------------:|:--------------:|:-----:|
| 0.6164     | 0.7297    | 0.5360          | 0.7665         | 0     |
| 0.5040     | 0.7820    | 0.5145          | 0.7739         | 1     |
| 0.4248     | 0.8206    | 0.5470          | 0.7744         | 2     |
| 0.3413     | 0.8583    | 0.6132          | 0.7699         | 3     |
| 0.2715     | 0.8906    | 0.6536          | 0.7701         | 4     |


### Framework versions

- Transformers 4.28.1
- TensorFlow 2.11.0
- Datasets 2.1.0
- Tokenizers 0.13.3