--- library_name: transformers base_model: aubmindlab/bert-base-arabert tags: - generated_from_keras_callback model-index: - name: I042/bert-base-arabert-finetuned-wikitext2 results: [] --- # I042/bert-base-arabert-finetuned-wikitext2 This model is a fine-tuned version of [aubmindlab/bert-base-arabert](https://huggingface.co/aubmindlab/bert-base-arabert) on an unknown dataset. It achieves the following results on the evaluation set: - Train Loss: 3.5692 - Validation Loss: 3.0649 - Epoch: 0 ## 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': 'AdamWeightDecay', 'learning_rate': 2e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01} - training_precision: float32 ### Training results | Train Loss | Validation Loss | Epoch | |:----------:|:---------------:|:-----:| | 3.5692 | 3.0649 | 0 | ### Framework versions - Transformers 4.44.2 - TensorFlow 2.17.0 - Datasets 3.0.0 - Tokenizers 0.19.1