readme: ---
  language:
  - en
  license: apache-2.0
  tags:
  - generated_from_trainer
  datasets:
  - glue
  metrics:
  - accuracy
  - f1
  model-index:
  - name: mobilebert_sa_GLUE_Experiment_data_aug_mrpc_128
    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. -->
  
  # mobilebert_sa_GLUE_Experiment_data_aug_mrpc_128
  
  This model is a fine-tuned version of [google/mobilebert-uncased](https://huggingface.co/google/mobilebert-uncased) on the GLUE MRPC dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.0
  - 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: 128
  - eval_batch_size: 128
  - 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
  
  ### Training results
  
  | Training Loss | Epoch | Step  | Validation Loss | Accuracy | F1     | Combined Score |
  |:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|:--------------:|
  | 0.2019        | 1.0   | 1959  | 0.0211          | 0.9926   | 0.9947 | 0.9936         |
  | 0.0464        | 2.0   | 3918  | 0.0122          | 0.9951   | 0.9964 | 0.9958         |
  | 0.0307        | 3.0   | 5877  | 0.0049          | 0.9975   | 0.9982 | 0.9979         |
  | 0.0223        | 4.0   | 7836  | 0.0041          | 0.9975   | 0.9982 | 0.9979         |
  | 0.0179        | 5.0   | 9795  | 0.0006          | 1.0      | 1.0    | 1.0            |
  | 0.0147        | 6.0   | 11754 | 0.0005          | 1.0      | 1.0    | 1.0            |
  | 0.012         | 7.0   | 13713 | 0.0001          | 1.0      | 1.0    | 1.0            |
  | 0.0086        | 8.0   | 15672 | 0.0001          | 1.0      | 1.0    | 1.0            |
  | 0.0064        | 9.0   | 17631 | 0.0000          | 1.0      | 1.0    | 1.0            |
  | 0.0058        | 10.0  | 19590 | 0.0000          | 1.0      | 1.0    | 1.0            |
  | 0.0043        | 11.0  | 21549 | 0.0000          | 1.0      | 1.0    | 1.0            |
  | 0.0035        | 12.0  | 23508 | 0.0000          | 1.0      | 1.0    | 1.0            |
  | 0.003         | 13.0  | 25467 | 0.0001          | 1.0      | 1.0    | 1.0            |
  | 0.0024        | 14.0  | 27426 | 0.0000          | 1.0      | 1.0    | 1.0            |
  | 0.0018        | 15.0  | 29385 | 0.0000          | 1.0      | 1.0    | 1.0            |
  | 0.0017        | 16.0  | 31344 | 0.0000          | 1.0      | 1.0    | 1.0            |
  | 0.0014        | 17.0  | 33303 | 0.0000          | 1.0      | 1.0    | 1.0            |
  | 0.0014        | 18.0  | 35262 | 0.0000          | 1.0      | 1.0    | 1.0            |
  | 0.001         | 19.0  | 37221 | 0.0000          | 1.0      | 1.0    | 1.0            |
  | 0.0008        | 20.0  | 39180 | 0.0000          | 1.0      | 1.0    | 1.0            |
  | 0.0009        | 21.0  | 41139 | 0.0             | 1.0      | 1.0    | 1.0            |
  | 0.0006        | 22.0  | 43098 | 0.0000          | 1.0      | 1.0    | 1.0            |
  | 0.0007        | 23.0  | 45057 | 0.0000          | 1.0      | 1.0    | 1.0            |
  | 0.0004        | 24.0  | 47016 | 0.0000          | 1.0      | 1.0    | 1.0            |
  | 0.0007        | 25.0  | 48975 | 0.0             | 1.0      | 1.0    | 1.0            |
  | 0.0002        | 26.0  | 50934 | 0.0             | 1.0      | 1.0    | 1.0            |
  
  
  ### Framework versions
  
  - Transformers 4.26.0
  - Pytorch 1.14.0a0+410ce96
  - Datasets 2.9.0
  - Tokenizers 0.13.2
  