---
license: mit
tags:
- generated_from_keras_callback
base_model: roberta-base
model-index:
- name: roberta-blm-tweets
  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. -->

# roberta-blm-tweets

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: 0.3333
- Train Accuracy: 0.8964
- Validation Loss: 1.5482
- Validation Accuracy: 0.6106
- Epoch: 7

## 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', 'learning_rate': 5e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
- training_precision: float32

### Training results

| Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Epoch |
|:----------:|:--------------:|:---------------:|:-------------------:|:-----:|
| 1.4279     | 0.4908         | 1.3684          | 0.5442              | 0     |
| 1.1474     | 0.6375         | 1.2189          | 0.5796              | 1     |
| 0.9645     | 0.7016         | 1.1257          | 0.6106              | 2     |
| 0.7404     | 0.7534         | 1.2809          | 0.6239              | 3     |
| 0.6608     | 0.7965         | 1.4192          | 0.5973              | 4     |
| 0.5460     | 0.8187         | 1.3828          | 0.5354              | 5     |
| 0.4058     | 0.8668         | 1.5394          | 0.5929              | 6     |
| 0.3333     | 0.8964         | 1.5482          | 0.6106              | 7     |


### Framework versions

- Transformers 4.25.1
- TensorFlow 2.9.2
- Tokenizers 0.13.2