readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  datasets:
  - tweet_eval
  metrics:
  - accuracy
  - f1
  model-index:
  - name: base-mlm-imdb-target-tweet
    results:
    - task:
        name: Text Classification
        type: text-classification
      dataset:
        name: tweet_eval
        type: tweet_eval
        config: emotion
        split: train
        args: emotion
      metrics:
      - name: Accuracy
        type: accuracy
        value: 0.7754010695187166
      - name: F1
        type: f1
        value: 0.77889743305892
  ---
  
  <!-- 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-imdb-target-tweet
  
  This model is a fine-tuned version of [muhtasham/base-mlm-imdb](https://huggingface.co/muhtasham/base-mlm-imdb) on the tweet_eval dataset.
  It achieves the following results on the evaluation set:
  - Loss: 1.7516
  - Accuracy: 0.7754
  - F1: 0.7789
  
  ## 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     |
  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
  | 0.3412        | 4.9   | 500  | 1.0525          | 0.7888   | 0.7891 |
  | 0.0365        | 9.8   | 1000 | 1.4590          | 0.7540   | 0.7572 |
  | 0.0127        | 14.71 | 1500 | 1.4788          | 0.7888   | 0.7890 |
  | 0.0137        | 19.61 | 2000 | 1.7516          | 0.7754   | 0.7789 |
  
  
  ### Framework versions
  
  - Transformers 4.25.1
  - Pytorch 1.12.1
  - Datasets 2.7.1
  - Tokenizers 0.13.2
  