readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  metrics:
  - accuracy
  widget:
  - '全国高校科研质量排名，清华北大浙大无缘前五。'
  model-index:
  - name: classification_tnews_more_imbalanced
    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. -->
  
  # classification_tnews_more_imbalanced
  
  This model is a fine-tuned version of [hfl/chinese-roberta-wwm-ext](https://huggingface.co/hfl/chinese-roberta-wwm-ext) on an imbalanced subset of TNEWS dataset.
  It achieves the following results on the evaluation set:
  - Loss: 1.1420
  - Accuracy: 0.7267
  
  ## 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: 10
  - eval_batch_size: 10
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 5
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
  |:-------------:|:-----:|:----:|:---------------:|:--------:|
  | 0.6696        | 1.0   | 142  | 1.0848          | 0.6667   |
  | 0.3882        | 2.0   | 284  | 1.0941          | 0.68     |
  | 0.2463        | 3.0   | 426  | 1.0852          | 0.6933   |
  | 0.1497        | 4.0   | 568  | 1.1248          | 0.72     |
  | 0.0926        | 5.0   | 710  | 1.1420          | 0.7267   |
  
  
  ### Framework versions
  
  - Transformers 4.25.1
  - Pytorch 1.13.0+cu116
  - Datasets 2.8.0
  - Tokenizers 0.13.2
  