readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  metrics:
  - precision
  - recall
  - f1
  - accuracy
  model-index:
  - name: tiny-mlm-tweet-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-tweet-target-conll2003
  
  This model is a fine-tuned version of [muhtasham/tiny-mlm-tweet](https://huggingface.co/muhtasham/tiny-mlm-tweet) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.1472
  - Precision: 0.7358
  - Recall: 0.8098
  - F1: 0.7710
  - Accuracy: 0.9568
  
  ## 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 |
  |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
  | 0.754         | 1.14  | 500  | 0.4280          | 0.4589    | 0.5084 | 0.4824 | 0.8922   |
  | 0.3717        | 2.28  | 1000 | 0.2900          | 0.5875    | 0.6503 | 0.6173 | 0.9240   |
  | 0.2865        | 3.42  | 1500 | 0.2349          | 0.6354    | 0.7050 | 0.6684 | 0.9345   |
  | 0.2358        | 4.56  | 2000 | 0.2070          | 0.6760    | 0.7400 | 0.7066 | 0.9410   |
  | 0.2035        | 5.69  | 2500 | 0.1835          | 0.6966    | 0.7647 | 0.7291 | 0.9467   |
  | 0.1793        | 6.83  | 3000 | 0.1702          | 0.7107    | 0.7819 | 0.7446 | 0.9501   |
  | 0.1579        | 7.97  | 3500 | 0.1613          | 0.7162    | 0.7932 | 0.7527 | 0.9527   |
  | 0.1408        | 9.11  | 4000 | 0.1545          | 0.7209    | 0.7940 | 0.7557 | 0.9545   |
  | 0.1267        | 10.25 | 4500 | 0.1505          | 0.7391    | 0.8024 | 0.7695 | 0.9559   |
  | 0.1179        | 11.39 | 5000 | 0.1472          | 0.7358    | 0.8098 | 0.7710 | 0.9568   |
  
  
  ### Framework versions
  
  - Transformers 4.26.0.dev0
  - Pytorch 1.13.0+cu116
  - Datasets 2.8.1.dev0
  - Tokenizers 0.13.2
  