readme: ---
  license: apache-2.0
  tags:
  - generated_from_keras_callback
  model-index:
  - name: Horovod_Tweet_Sentiment_10k_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. -->
  
  # Horovod_Tweet_Sentiment_10k_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: 0.7210579
  - Train Accuracy: 0.5
  - Validation Loss: 0.6863412
  - Validation Accuracy: 0.54062504
  - 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': 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 |
  |:----------:|:--------------:|:---------------:|:-------------------:|:-----:|
  | 0.7117643  | 0.4796875      | 0.7163932       | 0.459375            | 0     |
  | 0.7210579  | 0.5            | 0.6863412       | 0.54062504          | 1     |
  
  
  ### Framework versions
  
  - Transformers 4.17.0
  - TensorFlow 2.6.0
  - Tokenizers 0.11.6
  