---
tags:
- generated_from_keras_callback
base_model: cardiffnlp/twitter-roberta-base-sentiment-latest
model-index:
- name: bias_identificaiton2
  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. -->

# bias_identificaiton2

This model is a fine-tuned version of [cardiffnlp/twitter-roberta-base-sentiment-latest](https://huggingface.co/cardiffnlp/twitter-roberta-base-sentiment-latest) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 1.7723
- Train Accuracy: 0.3591
- Validation Loss: 1.7726
- Validation Accuracy: 0.3605
- 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': 0.001, '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 |
|:----------:|:--------------:|:---------------:|:-------------------:|:-----:|
| 1.8029     | 0.3485         | 1.7758          | 0.3605              | 0     |
| 1.7810     | 0.3572         | 1.7685          | 0.3605              | 1     |
| 1.7760     | 0.3576         | 1.7775          | 0.3605              | 2     |
| 1.7733     | 0.3596         | 1.7700          | 0.3605              | 3     |
| 1.7723     | 0.3591         | 1.7726          | 0.3605              | 4     |


### Framework versions

- Transformers 4.39.3
- TensorFlow 2.15.0
- Datasets 2.18.0
- Tokenizers 0.15.2