readme: ---
  license: apache-2.0
  tags:
  - generated_from_keras_callback
  model-index:
  - name: Horovod_Tweet_Sentiment_1K_4eps
    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. -->
  
  # Horovod_Tweet_Sentiment_1K_4eps
  
  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: 0.6803332
  - Train Accuracy: 0.57187504
  - Validation Loss: 0.6883397
  - Validation Accuracy: 0.54375
  - Epoch: 3
  
  ## 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': 0.0003, '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 |
  |:----------:|:--------------:|:---------------:|:-------------------:|:-----:|
  | 0.70931095 | 0.5078125      | 0.81717503      | 0.528125            | 0     |
  | 0.77384466 | 0.5296875      | 0.68696874      | 0.51875             | 1     |
  | 0.68944424 | 0.53125        | 0.6837756       | 0.53125             | 2     |
  | 0.6803332  | 0.57187504     | 0.6883397       | 0.54375             | 3     |
  
  
  ### Framework versions
  
  - Transformers 4.17.0
  - TensorFlow 2.6.0
  - Tokenizers 0.11.6
  