readme: ---
  tags:
  - generated_from_trainer
  metrics:
  - precision
  - recall
  - f1
  - accuracy
  model-index:
  - name: tiny-mlm-wikitext-from-scratch-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-from-scratch-target-conll2003
  
  This model is a fine-tuned version of [muhtasham/tiny-mlm-wikitext-from-scratch](https://huggingface.co/muhtasham/tiny-mlm-wikitext-from-scratch) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.3285
  - Precision: 0.4521
  - Recall: 0.6104
  - F1: 0.5194
  - Accuracy: 0.9045
  
  ## 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 |
  |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
  | 0.9995        | 1.14  | 500  | 0.6676          | 0.1574    | 0.1503 | 0.1538 | 0.8239   |
  | 0.5765        | 2.28  | 1000 | 0.5452          | 0.2558    | 0.3120 | 0.2811 | 0.8510   |
  | 0.4842        | 3.42  | 1500 | 0.4775          | 0.3120    | 0.4002 | 0.3507 | 0.8660   |
  | 0.4146        | 4.56  | 2000 | 0.4244          | 0.3769    | 0.4761 | 0.4208 | 0.8826   |
  | 0.3612        | 5.69  | 2500 | 0.3866          | 0.3858    | 0.5226 | 0.4439 | 0.8905   |
  | 0.3229        | 6.83  | 3000 | 0.3641          | 0.4154    | 0.5547 | 0.4751 | 0.8968   |
  | 0.2904        | 7.97  | 3500 | 0.3482          | 0.4208    | 0.5771 | 0.4867 | 0.8992   |
  | 0.2641        | 9.11  | 4000 | 0.3387          | 0.4396    | 0.5863 | 0.5025 | 0.9021   |
  | 0.2431        | 10.25 | 4500 | 0.3313          | 0.4455    | 0.5953 | 0.5096 | 0.9040   |
  | 0.23          | 11.39 | 5000 | 0.3285          | 0.4521    | 0.6104 | 0.5194 | 0.9045   |
  
  
  ### Framework versions
  
  - Transformers 4.26.0.dev0
  - Pytorch 1.13.1+cu116
  - Datasets 2.8.1.dev0
  - Tokenizers 0.13.2
  