readme: ---
  language:
  - en
  license: apache-2.0
  tags:
  - generated_from_trainer
  datasets:
  - glue
  metrics:
  - matthews_correlation
  model-index:
  - name: distilbert_sa_GLUE_Experiment_data_aug_cola_384
    results:
    - task:
        name: Text Classification
        type: text-classification
      dataset:
        name: GLUE COLA
        type: glue
        args: cola
      metrics:
      - name: Matthews Correlation
        type: matthews_correlation
        value: 0.12073105148250744
  ---
  
  <!-- 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_cola_384
  
  This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the GLUE COLA dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.7008
  - Matthews Correlation: 0.1207
  
  ## 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 | Matthews Correlation |
  |:-------------:|:-----:|:----:|:---------------:|:--------------------:|
  | 0.5179        | 1.0   | 835  | 0.7008          | 0.1207               |
  | 0.3641        | 2.0   | 1670 | 0.9121          | 0.1063               |
  | 0.2641        | 3.0   | 2505 | 1.0415          | 0.0951               |
  | 0.1963        | 4.0   | 3340 | 1.2167          | 0.1072               |
  | 0.1519        | 5.0   | 4175 | 1.3170          | 0.1162               |
  | 0.1191        | 6.0   | 5010 | 1.4385          | 0.1118               |
  
  
  ### Framework versions
  
  - Transformers 4.26.0
  - Pytorch 1.14.0a0+410ce96
  - Datasets 2.9.0
  - Tokenizers 0.13.2
  