readme: ---
  tags:
  - generated_from_keras_callback
  model-index:
  - name: fassahat/Seethal-sentiment-analysis-generic-dataset-finetuned-150k-patent-sentences
    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. -->
  
  # fassahat/Seethal-sentiment-analysis-generic-dataset-finetuned-150k-patent-sentences
  
  This model is a fine-tuned version of [Seethal/sentiment_analysis_generic_dataset](https://huggingface.co/Seethal/sentiment_analysis_generic_dataset) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Train Loss: 0.3141
  - Validation Loss: 0.4426
  - Train Accuracy: 0.8356
  - Epoch: 2
  
  ## 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': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 22500, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False}
  - training_precision: float32
  
  ### Training results
  
  | Train Loss | Validation Loss | Train Accuracy | Epoch |
  |:----------:|:---------------:|:--------------:|:-----:|
  | 0.5186     | 0.4563          | 0.8225         | 0     |
  | 0.3911     | 0.4298          | 0.8339         | 1     |
  | 0.3141     | 0.4426          | 0.8356         | 2     |
  
  
  ### Framework versions
  
  - Transformers 4.23.1
  - TensorFlow 2.9.2
  - Datasets 2.6.1
  - Tokenizers 0.13.1
  