readme: ---
  license: apache-2.0
  tags:
  - generated_from_keras_callback
  model-index:
  - name: relevance-model
    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. -->
  
  # relevance-model
  
  This model is a fine-tuned version of [hfl/chinese-roberta-wwm-ext](https://huggingface.co/hfl/chinese-roberta-wwm-ext) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Train Loss: 0.3134
  - Train Binary Accuracy: 0.8773
  - Validation Loss: 0.3633
  - Validation Binary Accuracy: 0.8541
  - 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': 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 Binary Accuracy | Validation Loss | Validation Binary Accuracy | Epoch |
  |:----------:|:---------------------:|:---------------:|:--------------------------:|:-----:|
  | 0.3980     | 0.8289                | 0.3739          | 0.8541                     | 0     |
  | 0.3446     | 0.8606                | 0.3614          | 0.8505                     | 1     |
  | 0.3134     | 0.8773                | 0.3633          | 0.8541                     | 2     |
  
  
  ### Framework versions
  
  - Transformers 4.16.0
  - TensorFlow 2.7.0
  - Datasets 1.18.1
  - Tokenizers 0.11.0
  