readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  metrics:
  - precision
  - recall
  - f1
  - accuracy
  model-index:
  - name: evaluating-student-writing-distibert-ner-with-metric
    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. -->
  
  # evaluating-student-writing-distibert-ner-with-metric
  
  This model is a fine-tuned version of [NahedAbdelgaber/evaluating-student-writing-distibert-ner](https://huggingface.co/NahedAbdelgaber/evaluating-student-writing-distibert-ner) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.7535
  - Precision: 0.0614
  - Recall: 0.2590
  - F1: 0.0993
  - Accuracy: 0.6188
  
  ## 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: 2e-05
  - train_batch_size: 8
  - eval_batch_size: 8
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 3
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
  |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
  | 0.7145        | 1.0   | 1755 | 0.7683          | 0.0546    | 0.2194 | 0.0875 | 0.6191   |
  | 0.6608        | 2.0   | 3510 | 0.7504          | 0.0570    | 0.2583 | 0.0934 | 0.6136   |
  | 0.5912        | 3.0   | 5265 | 0.7535          | 0.0614    | 0.2590 | 0.0993 | 0.6188   |
  
  
  ### Framework versions
  
  - Transformers 4.12.5
  - Pytorch 1.9.1
  - Datasets 1.16.1
  - Tokenizers 0.10.3
  