readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  metrics:
  - accuracy
  model-index:
  - name: bert-base-cased-twitter_sentiment
    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-base-cased-twitter_sentiment
  
  This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.6907
  - Accuracy: 0.7132
  
  ## 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: 1e-06
  - 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: 10
  
  ### Training results
  
  | Training Loss | Epoch | Step  | Validation Loss | Accuracy |
  |:-------------:|:-----:|:-----:|:---------------:|:--------:|
  | 0.8901        | 1.0   | 1387  | 0.8592          | 0.6249   |
  | 0.8085        | 2.0   | 2774  | 0.7600          | 0.6822   |
  | 0.7336        | 3.0   | 4161  | 0.7170          | 0.6915   |
  | 0.6938        | 4.0   | 5548  | 0.7018          | 0.7016   |
  | 0.6738        | 5.0   | 6935  | 0.6926          | 0.7067   |
  | 0.6496        | 6.0   | 8322  | 0.6910          | 0.7088   |
  | 0.6599        | 7.0   | 9709  | 0.6902          | 0.7088   |
  | 0.631         | 8.0   | 11096 | 0.6910          | 0.7095   |
  | 0.6327        | 9.0   | 12483 | 0.6925          | 0.7146   |
  | 0.6305        | 10.0  | 13870 | 0.6907          | 0.7132   |
  
  
  ### Framework versions
  
  - Transformers 4.12.5
  - Pytorch 1.10.0+cu111
  - Datasets 1.16.1
  - Tokenizers 0.10.3
  