readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  metrics:
  - accuracy
  model-index:
  - name: distiled_flip_model_twitter_eval_alpha_0.8_epoch7_v1
    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. -->
  
  # distiled_flip_model_twitter_eval_alpha_0.8_epoch7_v1
  
  This model is a fine-tuned version of [ArafatBHossain/distilbert-base-uncased_fine_tuned_sent140](https://huggingface.co/ArafatBHossain/distilbert-base-uncased_fine_tuned_sent140) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.9772
  - Accuracy: 0.7406
  
  ## 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 |
  |:-------------:|:-----:|:----:|:---------------:|:--------:|
  | 0.9422        | 1.0   | 408  | 0.9818          | 0.7193   |
  | 0.8752        | 2.0   | 816  | 0.9302          | 0.7299   |
  | 0.8253        | 3.0   | 1224 | 0.9979          | 0.7433   |
  | 0.8392        | 4.0   | 1632 | 0.9786          | 0.7433   |
  | 0.8036        | 5.0   | 2040 | 0.9793          | 0.7380   |
  | 0.7921        | 6.0   | 2448 | 1.0107          | 0.7487   |
  | 0.8221        | 7.0   | 2856 | 0.9772          | 0.7406   |
  
  
  ### Framework versions
  
  - Transformers 4.23.1
  - Pytorch 1.11.0
  - Datasets 2.6.1
  - Tokenizers 0.12.1
  