readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  metrics:
  - precision
  - recall
  - f1
  - accuracy
  model-index:
  - name: tiny-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. -->
  
  # tiny-mlm-wikitext-target-conll2003
  
  This model is a fine-tuned version of [muhtasham/tiny-mlm-wikitext](https://huggingface.co/muhtasham/tiny-mlm-wikitext) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.1476
  - Precision: 0.7356
  - Recall: 0.8095
  - F1: 0.7708
  - Accuracy: 0.9566
  
  ## 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 |
  |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
  | 0.7563        | 1.14  | 500  | 0.4302          | 0.4626    | 0.5145 | 0.4872 | 0.8907   |
  | 0.3735        | 2.28  | 1000 | 0.2915          | 0.5885    | 0.6547 | 0.6198 | 0.9234   |
  | 0.2875        | 3.42  | 1500 | 0.2354          | 0.6404    | 0.7070 | 0.6721 | 0.9342   |
  | 0.2366        | 4.56  | 2000 | 0.2071          | 0.6771    | 0.7408 | 0.7075 | 0.9411   |
  | 0.2038        | 5.69  | 2500 | 0.1847          | 0.6981    | 0.7657 | 0.7303 | 0.9465   |
  | 0.18          | 6.83  | 3000 | 0.1711          | 0.7112    | 0.7841 | 0.7459 | 0.9500   |
  | 0.159         | 7.97  | 3500 | 0.1626          | 0.7125    | 0.7908 | 0.7496 | 0.9524   |
  | 0.1415        | 9.11  | 4000 | 0.1554          | 0.7193    | 0.7933 | 0.7545 | 0.9544   |
  | 0.1276        | 10.25 | 4500 | 0.1514          | 0.7366    | 0.8029 | 0.7683 | 0.9558   |
  | 0.1184        | 11.39 | 5000 | 0.1476          | 0.7356    | 0.8095 | 0.7708 | 0.9566   |
  
  
  ### Framework versions
  
  - Transformers 4.26.0.dev0
  - Pytorch 1.13.0+cu116
  - Datasets 2.8.1.dev0
  - Tokenizers 0.13.2
  