readme: ---
  tags:
  - generated_from_trainer
  datasets:
  - conll2003
  model-index:
  - name: scibert-lm-v1-finetuned-20
    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. -->
  
  # scibert-lm-v1-finetuned-20
  
  This model is a fine-tuned version of [allenai/scibert_scivocab_cased](https://huggingface.co/allenai/scibert_scivocab_cased) on the conll2003 dataset.
  It achieves the following results on the evaluation set:
  - Loss: 22.6145
  
  ## 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: 4
  - eval_batch_size: 4
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 20
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step  | Validation Loss |
  |:-------------:|:-----:|:-----:|:---------------:|
  | 0.0118        | 1.0   | 1756  | 15.0609         |
  | 0.0001        | 2.0   | 3512  | 17.9265         |
  | 0.0           | 3.0   | 5268  | 18.6256         |
  | 0.0001        | 4.0   | 7024  | 19.5144         |
  | 0.0002        | 5.0   | 8780  | 19.8926         |
  | 0.0           | 6.0   | 10536 | 21.6975         |
  | 0.0           | 7.0   | 12292 | 22.2388         |
  | 0.0           | 8.0   | 14048 | 21.0441         |
  | 0.0           | 9.0   | 15804 | 21.6852         |
  | 0.0           | 10.0  | 17560 | 22.4439         |
  | 0.0           | 11.0  | 19316 | 20.9994         |
  | 0.0           | 12.0  | 21072 | 21.7275         |
  | 0.0           | 13.0  | 22828 | 22.1329         |
  | 0.0           | 14.0  | 24584 | 22.4599         |
  | 0.0           | 15.0  | 26340 | 22.5726         |
  | 0.0           | 16.0  | 28096 | 22.7823         |
  | 0.0           | 17.0  | 29852 | 22.4167         |
  | 0.0           | 18.0  | 31608 | 22.4075         |
  | 0.0           | 19.0  | 33364 | 22.5731         |
  | 0.0           | 20.0  | 35120 | 22.6145         |
  
  
  ### Framework versions
  
  - Transformers 4.21.1
  - Pytorch 1.12.0+cu113
  - Datasets 2.4.0
  - Tokenizers 0.12.1
  