readme: ---
  tags:
  - generated_from_trainer
  metrics:
  - f1
  model-index:
  - name: org_and_korquad
    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. -->
  
  # org_and_korquad
  
  This model is a fine-tuned version of [klue/roberta-large](https://huggingface.co/klue/roberta-large) on the None dataset.
  It achieves the following results on the evaluation set:
  - Exact Match: 69.1667
  - F1: 77.4615
  - Loss: 1.8961
  
  ## 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: 16
  - eval_batch_size: 16
  - seed: 42
  - gradient_accumulation_steps: 8
  - total_train_batch_size: 128
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - lr_scheduler_warmup_ratio: 0.1
  - num_epochs: 10.0
  
  ### Training results
  
  | Training Loss | Epoch | Step | Exact Match | F1      | Validation Loss |
  |:-------------:|:-----:|:----:|:-----------:|:-------:|:---------------:|
  | No log        | 0.83  | 500  | 62.5        | 70.6430 | 0.9231          |
  | No log        | 1.65  | 1000 | 66.25       | 75.8942 | 0.8221          |
  | No log        | 2.48  | 1500 | 67.9167     | 76.0458 | 0.9581          |
  | No log        | 3.31  | 2000 | 69.1667     | 77.5276 | 1.1324          |
  | No log        | 4.14  | 2500 | 67.9167     | 76.8019 | 1.2806          |
  | No log        | 4.97  | 3000 | 68.75       | 76.8566 | 1.3316          |
  | No log        | 5.79  | 3500 | 66.25       | 74.1136 | 1.4468          |
  | No log        | 6.62  | 4000 | 65.0        | 73.9254 | 1.5662          |
  | No log        | 7.45  | 4500 | 67.9167     | 76.6298 | 1.5423          |
  | No log        | 8.28  | 5000 | 67.5        | 75.6113 | 1.7773          |
  | No log        | 9.11  | 5500 | 68.3333     | 76.5557 | 1.8478          |
  | No log        | 9.93  | 6000 | 69.1667     | 77.4615 | 1.8961          |
  
  
  ### Framework versions
  
  - Transformers 4.25.1
  - Pytorch 1.13.0+cu117
  - Datasets 2.7.1
  - Tokenizers 0.13.2
  