readme: ---
  tags:
  - generated_from_trainer
  metrics:
  - precision
  - recall
  - f1
  - accuracy
  model-index:
  - name: small-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. -->
  
  # small-mlm-wikitext-from-scratch-target-conll2003
  
  This model is a fine-tuned version of [muhtasham/small-mlm-wikitext-from-scratch](https://huggingface.co/muhtasham/small-mlm-wikitext-from-scratch) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.3086
  - Precision: 0.5752
  - Recall: 0.7120
  - F1: 0.6363
  - Accuracy: 0.9257
  
  ## 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 |
  |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
  | 0.5989        | 1.14  | 500  | 0.4372          | 0.3407    | 0.4672 | 0.3941 | 0.8684   |
  | 0.3588        | 2.28  | 1000 | 0.3477          | 0.4385    | 0.5505 | 0.4882 | 0.8945   |
  | 0.2735        | 3.42  | 1500 | 0.3273          | 0.4400    | 0.6358 | 0.5201 | 0.8992   |
  | 0.2173        | 4.56  | 2000 | 0.3083          | 0.5089    | 0.6141 | 0.5566 | 0.9119   |
  | 0.1776        | 5.69  | 2500 | 0.3000          | 0.5235    | 0.6397 | 0.5758 | 0.9157   |
  | 0.1484        | 6.83  | 3000 | 0.2900          | 0.5332    | 0.6624 | 0.5908 | 0.9184   |
  | 0.1207        | 7.97  | 3500 | 0.2929          | 0.5422    | 0.6696 | 0.5992 | 0.9210   |
  | 0.0988        | 9.11  | 4000 | 0.3015          | 0.5755    | 0.6770 | 0.6222 | 0.9242   |
  | 0.0817        | 10.25 | 4500 | 0.3053          | 0.5528    | 0.7009 | 0.6181 | 0.9229   |
  | 0.0704        | 11.39 | 5000 | 0.3086          | 0.5752    | 0.7120 | 0.6363 | 0.9257   |
  
  
  ### Framework versions
  
  - Transformers 4.26.0.dev0
  - Pytorch 1.13.1+cu116
  - Datasets 2.8.1.dev0
  - Tokenizers 0.13.2
  