readme: ---
  tags:
  - generated_from_keras_callback
  model-index:
  - name: ROBERTA_Tweet_Sentiment_50_2eps
    results: []
  ---
  
  <!-- This model card has been generated automatically according to the information Keras had access to. You should
  probably proofread and complete it, then remove this comment. -->
  
  # ROBERTA_Tweet_Sentiment_50_2eps
  
  This model is a fine-tuned version of [cardiffnlp/twitter-roberta-base-sentiment](https://huggingface.co/cardiffnlp/twitter-roberta-base-sentiment) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Train Loss: 0.6625
  - Train Accuracy: 0.6310
  - Validation Loss: 0.8607
  - Validation Accuracy: 0.25
  - Epoch: 1
  
  ## 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', 'clipnorm': 1.0, 'learning_rate': 3e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False}
  - training_precision: float32
  
  ### Training results
  
  | Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Epoch |
  |:----------:|:--------------:|:---------------:|:-------------------:|:-----:|
  | 0.7325     | 0.4762         | 0.7489          | 0.25                | 0     |
  | 0.6625     | 0.6310         | 0.8607          | 0.25                | 1     |
  
  
  ### Framework versions
  
  - Transformers 4.16.2
  - TensorFlow 2.8.0
  - Tokenizers 0.11.0
  