readme: ---
  license: mit
  tags:
  - generated_from_keras_callback
  model-index:
  - name: roberta-blm-tweets
    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-blm-tweets
  
  This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Train Loss: 0.3333
  - Train Accuracy: 0.8964
  - Validation Loss: 1.5482
  - Validation Accuracy: 0.6106
  - Epoch: 7
  
  ## 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': 5e-05, '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 |
  |:----------:|:--------------:|:---------------:|:-------------------:|:-----:|
  | 1.4279     | 0.4908         | 1.3684          | 0.5442              | 0     |
  | 1.1474     | 0.6375         | 1.2189          | 0.5796              | 1     |
  | 0.9645     | 0.7016         | 1.1257          | 0.6106              | 2     |
  | 0.7404     | 0.7534         | 1.2809          | 0.6239              | 3     |
  | 0.6608     | 0.7965         | 1.4192          | 0.5973              | 4     |
  | 0.5460     | 0.8187         | 1.3828          | 0.5354              | 5     |
  | 0.4058     | 0.8668         | 1.5394          | 0.5929              | 6     |
  | 0.3333     | 0.8964         | 1.5482          | 0.6106              | 7     |
  
  
  ### Framework versions
  
  - Transformers 4.25.1
  - TensorFlow 2.9.2
  - Tokenizers 0.13.2
  