readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  widget:
  - '积极：这个酒店周围环境真的[MASK]。'
  model-index:
  - name: chinese-bert-wwm-finetuned-chnsenticorp
    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-finetuned-chnsenticorp
  
  This model is a fine-tuned version of [hfl/chinese-bert-wwm](https://huggingface.co/hfl/chinese-bert-wwm) on a small subset of chnsenticorp dataset.
  It achieves the following results on the evaluation set:
  - Loss: 3.0868
  
  ## 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: 5
  - eval_batch_size: 5
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 10
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss |
  |:-------------:|:-----:|:----:|:---------------:|
  | 1.0096        | 1.0   | 15   | 3.7742          |
  | 1.7336        | 2.0   | 30   | 3.9102          |
  | 2.5286        | 3.0   | 45   | 3.4744          |
  | 2.8892        | 4.0   | 60   | 3.1142          |
  | 2.7188        | 5.0   | 75   | 2.7622          |
  | 2.7923        | 6.0   | 90   | 3.1119          |
  | 2.4094        | 7.0   | 105  | 3.0426          |
  | 2.5928        | 8.0   | 120  | 2.8928          |
  | 2.4072        | 9.0   | 135  | 2.9462          |
  | 2.4349        | 10.0  | 150  | 2.7645          |
  
  
  ### Framework versions
  
  - Transformers 4.25.1
  - Pytorch 1.13.0+cu116
  - Datasets 2.8.0
  - Tokenizers 0.13.2
  