readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  metrics:
  - matthews_correlation
  model-index:
  - name: distilbert-base-uncased-finetuned-cola-3
    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. -->
  
  # distilbert-base-uncased-finetuned-cola-3
  
  This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.0002
  - Matthews Correlation: 1.0
  
  
  Label 0 : "AIMX"
  Label 1 : "OWNX"
  Label 2 : "CONT"
  Label 3 : "BASE"
  Label 4 : "MISC"
  
  
  
  ## 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: 10
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Matthews Correlation |
  |:-------------:|:-----:|:----:|:---------------:|:--------------------:|
  | No log        | 1.0   | 192  | 0.0060          | 1.0                  |
  | No log        | 2.0   | 384  | 0.0019          | 1.0                  |
  | 0.0826        | 3.0   | 576  | 0.0010          | 1.0                  |
  | 0.0826        | 4.0   | 768  | 0.0006          | 1.0                  |
  | 0.0826        | 5.0   | 960  | 0.0005          | 1.0                  |
  | 0.001         | 6.0   | 1152 | 0.0004          | 1.0                  |
  | 0.001         | 7.0   | 1344 | 0.0003          | 1.0                  |
  | 0.0005        | 8.0   | 1536 | 0.0003          | 1.0                  |
  | 0.0005        | 9.0   | 1728 | 0.0002          | 1.0                  |
  | 0.0005        | 10.0  | 1920 | 0.0002          | 1.0                  |
  
  
  ### Framework versions
  
  - Transformers 4.12.3
  - Pytorch 1.10.0+cu111
  - Datasets 1.15.1
  - Tokenizers 0.10.3
  