readme: ---
  license: apache-2.0
  tags:
  - generated_from_keras_callback
  model-index:
  - name: BERT_Tweet_Sentiment_50k_5eps
    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. -->
  
  # BERT_Tweet_Sentiment_50k_5eps
  
  This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Train Loss: 0.0256
  - Train Accuracy: 0.9913
  - Validation Loss: 0.8905
  - Validation Accuracy: 0.8291
  - Epoch: 4
  
  ## 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 |
  |:----------:|:--------------:|:---------------:|:-------------------:|:-----:|
  | 0.3395     | 0.8513         | 0.4071          | 0.8372              | 0     |
  | 0.1095     | 0.9606         | 0.6561          | 0.8291              | 1     |
  | 0.0487     | 0.9835         | 0.7597          | 0.8304              | 2     |
  | 0.0329     | 0.9890         | 0.7814          | 0.8273              | 3     |
  | 0.0256     | 0.9913         | 0.8905          | 0.8291              | 4     |
  
  
  ### Framework versions
  
  - Transformers 4.16.2
  - TensorFlow 2.8.0
  - Tokenizers 0.11.0
  