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--- |
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base_model: nlpaueb/bert-base-greek-uncased-v1 |
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tags: |
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- generated_from_keras_callback |
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model-index: |
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- name: czigopis/bert-base-greek-uncased-v1-finetuned-on-OGTDv1 |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information Keras had access to. You should |
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probably proofread and complete it, then remove this comment. --> |
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# czigopis/bert-base-greek-uncased-v1-finetuned-on-OGTDv1 |
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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). |
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It achieves the following results on the evaluation set: |
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- Train Loss: 0.1390 |
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- Validation Loss: 0.4815 |
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- Train Matthews Correlation: 0.6669 |
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- Train F1: 0.8385 |
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- Train Accuracy: 0.8333 |
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- Epoch: 4 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- 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} |
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- training_precision: float32 |
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### Training results |
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| Train Loss | Validation Loss | Train Matthews Correlation | Train F1 | Train Accuracy | Epoch | |
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|:----------:|:---------------:|:--------------------------:|:--------:|:--------------:|:-----:| |
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| 0.6338 | 0.5099 | 0.5313 | 0.7560 | 0.7642 | 0 | |
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| 0.4309 | 0.3983 | 0.6669 | 0.8339 | 0.8333 | 1 | |
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| 0.3024 | 0.4196 | 0.6594 | 0.8220 | 0.8280 | 2 | |
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| 0.2222 | 0.4432 | 0.6666 | 0.8374 | 0.8333 | 3 | |
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| 0.1390 | 0.4815 | 0.6669 | 0.8385 | 0.8333 | 4 | |
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### Framework versions |
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- Transformers 4.40.2 |
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- TensorFlow 2.15.0 |
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- Datasets 2.19.1 |
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- Tokenizers 0.19.1 |
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