| tags: | |
| - generated_from_trainer | |
| metrics: | |
| - accuracy | |
| model-index: | |
| - name: greek-media-bert-base-uncased | |
| # Greek Media BERT | |
| This model is a domain-adapted version of [nlpaueb/bert-base-greek-uncased-v1](https://huggingface.co/nlpaueb/bert-base-greek-uncased-v1) on Greek media centric dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 1.1287 | |
| - Accuracy: 0.7616 | |
| ## 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: | |
| - learning_rate: 5e-05 | |
| - train_batch_size: 64 | |
| - eval_batch_size: 64 | |
| - seed: 42 | |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: linear | |
| - num_epochs: 3.0 | |
| ### Training results | |
| ### Framework versions | |
| - Transformers 4.21.0.dev0 | |
| - Pytorch 1.12.0+cu116 | |
| - Tensorflow 2.11.0 | |
| - Datasets 2.3.2 | |
| - Tokenizers 0.12.1 | |