readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  metrics:
  - precision
  - recall
  - f1
  - accuracy
  model-index:
  - name: small-mlm-wikitext-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-wikitext-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: 0.1116
  - Precision: 0.8899
  - Recall: 0.9184
  - F1: 0.9039
  - Accuracy: 0.9785
  
  ## 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 |
  |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
  | 0.223         | 1.14  | 500  | 0.0903          | 0.8418    | 0.8810 | 0.8609 | 0.9720   |
  | 0.0741        | 2.28  | 1000 | 0.0790          | 0.8792    | 0.8999 | 0.8894 | 0.9761   |
  | 0.0429        | 3.42  | 1500 | 0.0804          | 0.8822    | 0.9135 | 0.8976 | 0.9777   |
  | 0.0281        | 4.56  | 2000 | 0.0827          | 0.8969    | 0.9150 | 0.9059 | 0.9789   |
  | 0.0185        | 5.69  | 2500 | 0.0908          | 0.8933    | 0.9184 | 0.9057 | 0.9784   |
  | 0.013         | 6.83  | 3000 | 0.0960          | 0.8871    | 0.9179 | 0.9022 | 0.9782   |
  | 0.0095        | 7.97  | 3500 | 0.0975          | 0.9013    | 0.9201 | 0.9106 | 0.9793   |
  | 0.0074        | 9.11  | 4000 | 0.1094          | 0.8884    | 0.9189 | 0.9034 | 0.9776   |
  | 0.0059        | 10.25 | 4500 | 0.1088          | 0.8998    | 0.9185 | 0.9091 | 0.9795   |
  | 0.005         | 11.39 | 5000 | 0.1116          | 0.8899    | 0.9184 | 0.9039 | 0.9785   |
  
  
  ### Framework versions
  
  - Transformers 4.26.0.dev0
  - Pytorch 1.13.0+cu116
  - Datasets 2.8.1.dev0
  - Tokenizers 0.13.2
  