---
base_model: nlpaueb/bert-base-greek-uncased-v1
tags:
- generated_from_keras_callback
model-index:
- name: czigopis/bert-base-greek-uncased-v1-finetuned-on-OGTDv1
  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. -->

# czigopis/bert-base-greek-uncased-v1-finetuned-on-OGTDv1

This model is a fine-tuned version of [nlpaueb/bert-base-greek-uncased-v1](https://huggingface.co/nlpaueb/bert-base-greek-uncased-v1) on the [Offensive Greek Tweet Dataset (OGTD)](https://zpitenis.com/ogtd).
It achieves the following results on the evaluation set:
- Train Loss: 0.1390
- Validation Loss: 0.4815
- Train Matthews Correlation: 0.6669
- Train F1: 0.8385
- Train Accuracy: 0.8333
- 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': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 1e-05, 'decay_steps': 9805, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False}
- training_precision: float32

### Training results

| Train Loss | Validation Loss | Train Matthews Correlation | Train F1 | Train Accuracy | Epoch |
|:----------:|:---------------:|:--------------------------:|:--------:|:--------------:|:-----:|
| 0.6338     | 0.5099          | 0.5313                     | 0.7560   | 0.7642         | 0     |
| 0.4309     | 0.3983          | 0.6669                     | 0.8339   | 0.8333         | 1     |
| 0.3024     | 0.4196          | 0.6594                     | 0.8220   | 0.8280         | 2     |
| 0.2222     | 0.4432          | 0.6666                     | 0.8374   | 0.8333         | 3     |
| 0.1390     | 0.4815          | 0.6669                     | 0.8385   | 0.8333         | 4     |


### Framework versions

- Transformers 4.40.2
- TensorFlow 2.15.0
- Datasets 2.19.1
- Tokenizers 0.19.1