readme: ---
  tags:
  - generated_from_trainer
  metrics:
  - precision
  - recall
  - f1
  - accuracy
  model-index:
  - name: layoutlmv3-er-ner
    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. -->
  
  # layoutlmv3-er-ner
  
  This model is a fine-tuned version of [renjithks/layoutlmv3-cord-ner](https://huggingface.co/renjithks/layoutlmv3-cord-ner) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.2025
  - Precision: 0.6442
  - Recall: 0.6761
  - F1: 0.6598
  - Accuracy: 0.9507
  
  ## 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: 5e-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: 10
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
  |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
  | No log        | 1.0   | 22   | 0.2940          | 0.4214    | 0.2956 | 0.3475 | 0.9147   |
  | No log        | 2.0   | 44   | 0.2487          | 0.4134    | 0.4526 | 0.4321 | 0.9175   |
  | No log        | 3.0   | 66   | 0.1922          | 0.5399    | 0.5460 | 0.5429 | 0.9392   |
  | No log        | 4.0   | 88   | 0.1977          | 0.5653    | 0.5813 | 0.5732 | 0.9434   |
  | No log        | 5.0   | 110  | 0.2018          | 0.6173    | 0.6252 | 0.6212 | 0.9477   |
  | No log        | 6.0   | 132  | 0.1823          | 0.6232    | 0.6153 | 0.6192 | 0.9485   |
  | No log        | 7.0   | 154  | 0.1972          | 0.6203    | 0.6238 | 0.6220 | 0.9477   |
  | No log        | 8.0   | 176  | 0.1952          | 0.6292    | 0.6407 | 0.6349 | 0.9511   |
  | No log        | 9.0   | 198  | 0.2070          | 0.6331    | 0.6492 | 0.6411 | 0.9489   |
  | No log        | 10.0  | 220  | 0.2025          | 0.6442    | 0.6761 | 0.6598 | 0.9507   |
  
  
  ### Framework versions
  
  - Transformers 4.20.0.dev0
  - Pytorch 1.11.0
  - Datasets 2.1.0
  - Tokenizers 0.12.1
  