readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  metrics:
  - accuracy
  - f1
  model-index:
  - name: small-mlm-wikitext-target-rotten_tomatoes
    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. -->
  
  # small-mlm-wikitext-target-rotten_tomatoes
  
  This model is a fine-tuned version of [muhtasham/small-mlm-wikitext](https://huggingface.co/muhtasham/small-mlm-wikitext) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 1.3909
  - Accuracy: 0.8021
  - F1: 0.8017
  
  ## 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
  - training_steps: 5000
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
  | 0.4528        | 1.87  | 500  | 0.4296          | 0.8030   | 0.8028 |
  | 0.2265        | 3.75  | 1000 | 0.5558          | 0.8096   | 0.8096 |
  | 0.1111        | 5.62  | 1500 | 0.9042          | 0.8039   | 0.8039 |
  | 0.0584        | 7.49  | 2000 | 1.1252          | 0.8058   | 0.8058 |
  | 0.0405        | 9.36  | 2500 | 1.3909          | 0.8021   | 0.8017 |
  
  
  ### Framework versions
  
  - Transformers 4.26.0.dev0
  - Pytorch 1.13.0+cu116
  - Datasets 2.8.1.dev0
  - Tokenizers 0.13.2
  