readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  metrics:
  - precision
  - recall
  - f1
  - accuracy
  model-index:
  - name: small-mlm-imdb-target-conll2003
    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-imdb-target-conll2003
  
  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: 0.1138
  - Precision: 0.8869
  - Recall: 0.9189
  - F1: 0.9026
  - Accuracy: 0.9777
  
  ## 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 | Precision | Recall | F1     | Accuracy |
  |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
  | 0.2197        | 1.14  | 500  | 0.0926          | 0.8440    | 0.8756 | 0.8595 | 0.9715   |
  | 0.0745        | 2.28  | 1000 | 0.0795          | 0.8817    | 0.8982 | 0.8899 | 0.9766   |
  | 0.0425        | 3.42  | 1500 | 0.0829          | 0.8844    | 0.9127 | 0.8983 | 0.9773   |
  | 0.0271        | 4.56  | 2000 | 0.0836          | 0.8975    | 0.9148 | 0.9061 | 0.9788   |
  | 0.0181        | 5.69  | 2500 | 0.0949          | 0.8922    | 0.9155 | 0.9037 | 0.9782   |
  | 0.0129        | 6.83  | 3000 | 0.0922          | 0.8912    | 0.9157 | 0.9033 | 0.9793   |
  | 0.0091        | 7.97  | 3500 | 0.0996          | 0.9002    | 0.9169 | 0.9085 | 0.9789   |
  | 0.0073        | 9.11  | 4000 | 0.1031          | 0.9035    | 0.9202 | 0.9118 | 0.9800   |
  | 0.0057        | 10.25 | 4500 | 0.1152          | 0.9014    | 0.9125 | 0.9069 | 0.9788   |
  | 0.005         | 11.39 | 5000 | 0.1138          | 0.8869    | 0.9189 | 0.9026 | 0.9777   |
  
  
  ### Framework versions
  
  - Transformers 4.26.0.dev0
  - Pytorch 1.13.0+cu116
  - Datasets 2.8.1.dev0
  - Tokenizers 0.13.2
  