readme: ---
  tags:
  - generated_from_trainer
  datasets:
  - glue
  metrics:
  - accuracy
  model-index:
  - name: bert-base-uncased-finetuned-mnli-512-10
    results:
    - task:
        name: Text Classification
        type: text-classification
      dataset:
        name: glue
        type: glue
        args: mnli
      metrics:
      - name: Accuracy
        type: accuracy
        value: 0.9355947399880454
  ---
  
  <!-- 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-uncased-finetuned-mnli-512-10
  
  This model is a fine-tuned version of [yy642/bert-base-uncased-finetuned-mnli-512-5](https://huggingface.co/yy642/bert-base-uncased-finetuned-mnli-512-5) on the glue dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.4991
  - Accuracy: 0.9356
  
  ## 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: 16
  - eval_batch_size: 16
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 5
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step  | Validation Loss | Accuracy |
  |:-------------:|:-----:|:-----:|:---------------:|:--------:|
  | 0.0514        | 1.0   | 16363 | 0.4557          | 0.9265   |
  | 0.0369        | 2.0   | 32726 | 0.4548          | 0.9323   |
  | 0.0249        | 3.0   | 49089 | 0.4376          | 0.9320   |
  | 0.0197        | 4.0   | 65452 | 0.4991          | 0.9356   |
  | 0.0135        | 5.0   | 81815 | 0.5424          | 0.9341   |
  
  
  ### Framework versions
  
  - Transformers 4.17.0
  - Pytorch 1.11.0a0+17540c5
  - Datasets 2.0.0
  - Tokenizers 0.11.6
  