readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  metrics:
  - accuracy
  - f1
  model-index:
  - name: chinese-roberta-wwm-ext-finetuned2
    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-finetuned2
  
  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: 0.1448
  - 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: 8
  - eval_batch_size: 8
  - 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     |
  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
  | 1.4081        | 1.0   | 3    | 0.9711          | 0.7273   | 0.6573 |
  | 0.9516        | 2.0   | 6    | 0.8174          | 0.8182   | 0.8160 |
  | 0.8945        | 3.0   | 9    | 0.6617          | 0.9091   | 0.9124 |
  | 0.7042        | 4.0   | 12   | 0.5308          | 1.0      | 1.0    |
  | 0.6641        | 5.0   | 15   | 0.4649          | 1.0      | 1.0    |
  | 0.5731        | 6.0   | 18   | 0.4046          | 1.0      | 1.0    |
  | 0.5132        | 7.0   | 21   | 0.3527          | 1.0      | 1.0    |
  | 0.3999        | 8.0   | 24   | 0.3070          | 1.0      | 1.0    |
  | 0.4198        | 9.0   | 27   | 0.2673          | 1.0      | 1.0    |
  | 0.3677        | 10.0  | 30   | 0.2378          | 1.0      | 1.0    |
  | 0.3545        | 11.0  | 33   | 0.2168          | 1.0      | 1.0    |
  | 0.3237        | 12.0  | 36   | 0.1980          | 1.0      | 1.0    |
  | 0.3122        | 13.0  | 39   | 0.1860          | 1.0      | 1.0    |
  | 0.2802        | 14.0  | 42   | 0.1759          | 1.0      | 1.0    |
  | 0.2552        | 15.0  | 45   | 0.1671          | 1.0      | 1.0    |
  | 0.2475        | 16.0  | 48   | 0.1598          | 1.0      | 1.0    |
  | 0.2259        | 17.0  | 51   | 0.1541          | 1.0      | 1.0    |
  | 0.201         | 18.0  | 54   | 0.1492          | 1.0      | 1.0    |
  | 0.2083        | 19.0  | 57   | 0.1461          | 1.0      | 1.0    |
  | 0.2281        | 20.0  | 60   | 0.1448          | 1.0      | 1.0    |
  
  
  ### Framework versions
  
  - Transformers 4.18.0
  - Pytorch 1.12.0+cu102
  - Datasets 2.1.0
  - Tokenizers 0.12.1
  