readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  datasets:
  - imdb
  metrics:
  - accuracy
  - f1
  model-index:
  - name: base-mlm-tweet-target-imdb
    results:
    - task:
        name: Text Classification
        type: text-classification
      dataset:
        name: imdb
        type: imdb
        config: plain_text
        split: train
        args: plain_text
      metrics:
      - name: Accuracy
        type: accuracy
        value: 0.94368
      - name: F1
        type: f1
        value: 0.9710240368784985
  ---
  
  <!-- 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. -->
  
  # base-mlm-tweet-target-imdb
  
  This model is a fine-tuned version of [muhtasham/base-mlm-tweet](https://huggingface.co/muhtasham/base-mlm-tweet) on the imdb dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.2137
  - Accuracy: 0.9437
  - F1: 0.9710
  
  ## 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: 3e-05
  - train_batch_size: 32
  - eval_batch_size: 32
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: constant
  - num_epochs: 200
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
  | 0.2617        | 0.64  | 500  | 0.1863          | 0.9342   | 0.9660 |
  | 0.1778        | 1.28  | 1000 | 0.1229          | 0.9638   | 0.9816 |
  | 0.1322        | 1.92  | 1500 | 0.0893          | 0.9699   | 0.9847 |
  | 0.0756        | 2.56  | 2000 | 0.4449          | 0.9056   | 0.9505 |
  | 0.063         | 3.2   | 2500 | 0.3961          | 0.9095   | 0.9526 |
  | 0.0432        | 3.84  | 3000 | 0.2137          | 0.9437   | 0.9710 |
  
  
  ### Framework versions
  
  - Transformers 4.25.1
  - Pytorch 1.12.1
  - Datasets 2.7.1
  - Tokenizers 0.13.2
  