readme: ---
  language:
  - en
  license: apache-2.0
  tags:
  - generated_from_trainer
  datasets:
  - glue
  metrics:
  - accuracy
  - f1
  model-index:
  - name: distilbert_sa_GLUE_Experiment_data_aug_mrpc_96
    results:
    - task:
        name: Text Classification
        type: text-classification
      dataset:
        name: GLUE MRPC
        type: glue
        args: mrpc
      metrics:
      - name: Accuracy
        type: accuracy
        value: 1.0
      - name: F1
        type: f1
        value: 1.0
  ---
  
  <!-- 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. -->
  
  # distilbert_sa_GLUE_Experiment_data_aug_mrpc_96
  
  This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the GLUE MRPC dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.0000
  - Accuracy: 1.0
  - F1: 1.0
  - Combined Score: 1.0
  
  ## 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: 256
  - eval_batch_size: 256
  - seed: 10
  - distributed_type: multi-GPU
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 50
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step  | Validation Loss | Accuracy | F1     | Combined Score |
  |:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|:--------------:|
  | 0.3242        | 1.0   | 980   | 0.0830          | 0.9804   | 0.9857 | 0.9830         |
  | 0.0843        | 2.0   | 1960  | 0.0355          | 0.9828   | 0.9875 | 0.9852         |
  | 0.0431        | 3.0   | 2940  | 0.0105          | 1.0      | 1.0    | 1.0            |
  | 0.0268        | 4.0   | 3920  | 0.0046          | 1.0      | 1.0    | 1.0            |
  | 0.019         | 5.0   | 4900  | 0.0015          | 1.0      | 1.0    | 1.0            |
  | 0.0141        | 6.0   | 5880  | 0.0011          | 1.0      | 1.0    | 1.0            |
  | 0.0115        | 7.0   | 6860  | 0.0007          | 1.0      | 1.0    | 1.0            |
  | 0.0094        | 8.0   | 7840  | 0.0004          | 1.0      | 1.0    | 1.0            |
  | 0.0078        | 9.0   | 8820  | 0.0004          | 1.0      | 1.0    | 1.0            |
  | 0.0056        | 10.0  | 9800  | 0.0006          | 1.0      | 1.0    | 1.0            |
  | 0.0056        | 11.0  | 10780 | 0.0001          | 1.0      | 1.0    | 1.0            |
  | 0.0039        | 12.0  | 11760 | 0.0001          | 1.0      | 1.0    | 1.0            |
  | 0.0038        | 13.0  | 12740 | 0.0001          | 1.0      | 1.0    | 1.0            |
  | 0.0029        | 14.0  | 13720 | 0.0000          | 1.0      | 1.0    | 1.0            |
  | 0.0026        | 15.0  | 14700 | 0.0000          | 1.0      | 1.0    | 1.0            |
  | 0.0025        | 16.0  | 15680 | 0.0000          | 1.0      | 1.0    | 1.0            |
  | 0.0019        | 17.0  | 16660 | 0.0000          | 1.0      | 1.0    | 1.0            |
  | 0.0017        | 18.0  | 17640 | 0.0000          | 1.0      | 1.0    | 1.0            |
  | 0.0015        | 19.0  | 18620 | 0.0000          | 1.0      | 1.0    | 1.0            |
  | 0.0013        | 20.0  | 19600 | 0.0000          | 1.0      | 1.0    | 1.0            |
  | 0.0013        | 21.0  | 20580 | 0.0000          | 1.0      | 1.0    | 1.0            |
  | 0.0013        | 22.0  | 21560 | 0.0000          | 1.0      | 1.0    | 1.0            |
  | 0.0012        | 23.0  | 22540 | 0.0000          | 1.0      | 1.0    | 1.0            |
  | 0.001         | 24.0  | 23520 | 0.0000          | 1.0      | 1.0    | 1.0            |
  | 0.0008        | 25.0  | 24500 | 0.0000          | 1.0      | 1.0    | 1.0            |
  | 0.0007        | 26.0  | 25480 | 0.0000          | 1.0      | 1.0    | 1.0            |
  | 0.0006        | 27.0  | 26460 | 0.0000          | 1.0      | 1.0    | 1.0            |
  | 0.0007        | 28.0  | 27440 | 0.0000          | 1.0      | 1.0    | 1.0            |
  | 0.0007        | 29.0  | 28420 | 0.0000          | 1.0      | 1.0    | 1.0            |
  | 0.0005        | 30.0  | 29400 | 0.0000          | 1.0      | 1.0    | 1.0            |
  | 0.0004        | 31.0  | 30380 | 0.0000          | 1.0      | 1.0    | 1.0            |
  | 0.0005        | 32.0  | 31360 | 0.0000          | 1.0      | 1.0    | 1.0            |
  | 0.0004        | 33.0  | 32340 | 0.0000          | 1.0      | 1.0    | 1.0            |
  | 0.0003        | 34.0  | 33320 | 0.0000          | 1.0      | 1.0    | 1.0            |
  | 0.0004        | 35.0  | 34300 | 0.0000          | 1.0      | 1.0    | 1.0            |
  | 0.0002        | 36.0  | 35280 | 0.0000          | 1.0      | 1.0    | 1.0            |
  | 0.0003        | 37.0  | 36260 | 0.0000          | 1.0      | 1.0    | 1.0            |
  | 0.0003        | 38.0  |