readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  datasets:
  - load_train
  metrics:
  - accuracy
  model-index:
  - name: thucnews
    results:
    - task:
        name: Text Classification
        type: text-classification
      dataset:
        name: load_train
        type: load_train
        config: default
        split: train
        args: default
      metrics:
      - name: Accuracy
        type: accuracy
        value: 0.9433
  ---
  
  <!-- 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. -->
  
  # thucnews
  
  This model is a fine-tuned version of [hfl/rbt6](https://huggingface.co/hfl/rbt6) on the load_train dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.3191
  - Accuracy: 0.9433
  
  ## 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: 0.0001
  - train_batch_size: 256
  - eval_batch_size: 256
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 8
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
  |:-------------:|:-----:|:----:|:---------------:|:--------:|
  | 0.2038        | 1.0   | 704  | 0.2018          | 0.9332   |
  | 0.1403        | 2.0   | 1408 | 0.1829          | 0.9406   |
  | 0.0894        | 3.0   | 2112 | 0.2073          | 0.9419   |
  | 0.056         | 4.0   | 2816 | 0.2228          | 0.9408   |
  | 0.0321        | 5.0   | 3520 | 0.2689          | 0.9417   |
  | 0.0209        | 6.0   | 4224 | 0.2819          | 0.9431   |
  | 0.0099        | 7.0   | 4928 | 0.3131          | 0.9421   |
  | 0.0057        | 8.0   | 5632 | 0.3191          | 0.9433   |
  
  
  ### Framework versions
  
  - Transformers 4.22.1
  - Pytorch 1.12.1+cu113
  - Datasets 2.5.1
  - Tokenizers 0.12.1
  