readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  metrics:
  - matthews_correlation
  model-index:
  - name: chinese-bert-wwm-ext-finetuned-cola
    results: []
  ---
  
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
  should probably proofread and complete it, then remove this comment. -->
  
  # chinese-bert-wwm-ext-finetuned-cola
  
  This model is a fine-tuned version of [hfl/chinese-bert-wwm-ext](https://huggingface.co/hfl/chinese-bert-wwm-ext) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.5747
  - Matthews Correlation: 0.4085
  
  ## 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:
  - learning_rate: 2e-05
  - train_batch_size: 32
  - eval_batch_size: 32
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 2
  
  ### Training results
  
  | Training Loss | Epoch | Step  | Validation Loss | Matthews Correlation |
  |:-------------:|:-----:|:-----:|:---------------:|:--------------------:|
  | 0.5824        | 1.0   | 66375 | 0.5746          | 0.4083               |
  | 0.5824        | 2.0   | 66376 | 0.5747          | 0.4085               |
  
  
  ### Framework versions
  
  - Transformers 4.12.5
  - Pytorch 1.7.1
  - Datasets 1.15.1
  - Tokenizers 0.10.3
  