readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  metrics:
  - accuracy
  model-index:
  - name: new_classifer_epoch7
    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. -->
  
  # new_classifer_epoch7
  
  This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.1305
  - Accuracy: 0.9861
  
  ## 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: 32
  - eval_batch_size: 32
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 7
  
  ### Training results
  
  | Training Loss | Epoch | Step  | Validation Loss | Accuracy |
  |:-------------:|:-----:|:-----:|:---------------:|:--------:|
  | 0.0526        | 1.0   | 4248  | 0.0587          | 0.9797   |
  | 0.0259        | 2.0   | 8496  | 0.0502          | 0.9855   |
  | 0.0121        | 3.0   | 12744 | 0.1170          | 0.9773   |
  | 0.0051        | 4.0   | 16992 | 0.1379          | 0.9811   |
  | 0.0026        | 5.0   | 21240 | 0.1014          | 0.9869   |
  | 0.0013        | 6.0   | 25488 | 0.1312          | 0.9859   |
  | 0.0002        | 7.0   | 29736 | 0.1305          | 0.9861   |
  
  
  ### Framework versions
  
  - Transformers 4.22.1
  - Pytorch 1.12.1+cu113
  - Datasets 2.5.1
  - Tokenizers 0.12.1
  