--- tags: - generated_from_keras_callback model-index: - name: ukzash1/bert_fineTuned results: - task: type: sequence-classification dataset: name: glue type: cola metrics: - name: Validation Accuracy type: Accuracy value: 0.8207 source: name: Hugging Face Model Hub url: https://huggingface.co/ukzash1/bert_fineTuned library_name: transformers widget: - text: I liked this movie output: - label: Acceptable score: 0.8 - label: Not Acceptable score: 0.2 - text: I liked movie this was output: - label: Acceptable score: 0.3 - label: Not Acceptable score: 0.7 license: apache-2.0 language: - en pipeline_tag: text-classification --- # bert_fineTuned This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set: ## 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: None - training_precision: float32 ### Training results ### Framework versions - Transformers 4.38.2 - TensorFlow 2.13.0 - Datasets 2.16.0 - Tokenizers 0.15.2