readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  metrics:
  - accuracy
  - f1
  model-index:
  - name: chinese-roberta-wwm-ext-finetuned
    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-roberta-wwm-ext-finetuned
  
  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:
  - Loss: 0.2139
  - Accuracy: 1.0
  - F1: 1.0
  
  ## 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: 20
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
  | 1.0107        | 1.0   | 1    | 0.8782          | 0.6      | 0.4500 |
  | 0.8418        | 2.0   | 2    | 0.7816          | 0.6      | 0.4500 |
  | 0.7572        | 3.0   | 3    | 0.7080          | 0.6      | 0.4500 |
  | 0.6794        | 4.0   | 4    | 0.6487          | 0.8      | 0.7810 |
  | 0.7444        | 5.0   | 5    | 0.5972          | 0.8      | 0.7810 |
  | 0.68          | 6.0   | 6    | 0.5516          | 0.9      | 0.8967 |
  | 0.5622        | 7.0   | 7    | 0.5103          | 0.9      | 0.8967 |
  | 0.5131        | 8.0   | 8    | 0.4692          | 0.9      | 0.8967 |
  | 0.5941        | 9.0   | 9    | 0.4285          | 1.0      | 1.0    |
  | 0.5093        | 10.0  | 10   | 0.3899          | 1.0      | 1.0    |
  | 0.4149        | 11.0  | 11   | 0.3549          | 1.0      | 1.0    |
  | 0.4634        | 12.0  | 12   | 0.3248          | 1.0      | 1.0    |
  | 0.3982        | 13.0  | 13   | 0.2985          | 1.0      | 1.0    |
  | 0.352         | 14.0  | 14   | 0.2756          | 1.0      | 1.0    |
  | 0.3633        | 15.0  | 15   | 0.2570          | 1.0      | 1.0    |
  | 0.3729        | 16.0  | 16   | 0.2420          | 1.0      | 1.0    |
  | 0.2934        | 17.0  | 17   | 0.2303          | 1.0      | 1.0    |
  | 0.308         | 18.0  | 18   | 0.2220          | 1.0      | 1.0    |
  | 0.2977        | 19.0  | 19   | 0.2166          | 1.0      | 1.0    |
  | 0.2969        | 20.0  | 20   | 0.2139          | 1.0      | 1.0    |
  
  
  ### Framework versions
  
  - Transformers 4.18.0
  - Pytorch 1.12.0+cu102
  - Datasets 1.18.4
  - Tokenizers 0.12.1
  