readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  metrics:
  - accuracy
  model-index:
  - name: bert-distilled-single_teacher_mind_epoch07_alpha0.8
    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. -->
  
  # bert-distilled-single_teacher_mind_epoch07_alpha0.8
  
  This model is a fine-tuned version of [ArafatBHossain/distill_bert_fine_tuned_mind](https://huggingface.co/ArafatBHossain/distill_bert_fine_tuned_mind) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.1023
  - Accuracy: 0.9208
  
  ## 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: 5e-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: 7
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step  | Validation Loss | Accuracy |
  |:-------------:|:-----:|:-----:|:---------------:|:--------:|
  | 0.2937        | 1.0   | 3054  | 0.2652          | 0.8802   |
  | 0.2339        | 2.0   | 6108  | 0.2510          | 0.8822   |
  | 0.1721        | 3.0   | 9162  | 0.1781          | 0.9038   |
  | 0.1284        | 4.0   | 12216 | 0.1450          | 0.9108   |
  | 0.0993        | 5.0   | 15270 | 0.1195          | 0.9182   |
  | 0.0765        | 6.0   | 18324 | 0.1115          | 0.9172   |
  | 0.063         | 7.0   | 21378 | 0.1023          | 0.9208   |
  
  
  ### Framework versions
  
  - Transformers 4.23.1
  - Pytorch 1.11.0
  - Datasets 2.6.1
  - Tokenizers 0.12.1
  