--- tags: - generated_from_keras_callback model-index: - name: cruiser/roberta_tensorflow_test results: [] --- # cruiser/roberta_tensorflow_test This model is a fine-tuned version of [cardiffnlp/twitter-xlm-roberta-base-sentiment](https://huggingface.co/cardiffnlp/twitter-xlm-roberta-base-sentiment) on an unknown dataset. It achieves the following results on the evaluation set: - Train Loss: 0.1366 - Train Accuracy: 0.9537 - Validation Loss: 0.8098 - Validation Accuracy: 0.7875 - Epoch: 5 ## 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', 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 5e-05, 'decay_steps': 34350, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False} - training_precision: float32 ### Training results | Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Epoch | |:----------:|:--------------:|:---------------:|:-------------------:|:-----:| | 0.6043 | 0.7502 | 0.5449 | 0.7756 | 0 | | 0.4868 | 0.8044 | 0.5104 | 0.7807 | 1 | | 0.3846 | 0.8472 | 0.5949 | 0.7705 | 2 | | 0.2873 | 0.8908 | 0.6515 | 0.7858 | 3 | | 0.1965 | 0.9293 | 0.7051 | 0.7813 | 4 | | 0.1366 | 0.9537 | 0.8098 | 0.7875 | 5 | ### Framework versions - Transformers 4.20.1 - TensorFlow 2.9.2 - Datasets 2.1.0 - Tokenizers 0.12.1