readme: ---
  tags:
  - generated_from_trainer
  metrics:
  - f1
  model-index:
  - name: pad_left
    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. -->
  
  # pad_left
  
  This model is a fine-tuned version of [klue/bert-base](https://huggingface.co/klue/bert-base) on the None dataset.
  It achieves the following results on the evaluation set:
  - Exact Match: 56.6667
  - F1: 65.2553
  - Loss: 3.6763
  
  ## 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: 8
  - eval_batch_size: 8
  - seed: 42
  - 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 |
  |:-------------:|:-----:|:----:|:-----------:|:-------:|:---------------:|
  | 3.2927        | 0.5   | 500  | 40.0        | 47.4740 | 1.6933          |
  | 1.3259        | 1.0   | 1000 | 52.5        | 62.2490 | 1.3006          |
  | 0.8054        | 1.5   | 1500 | 53.75       | 62.8486 | 1.1766          |
  | 0.7301        | 2.0   | 2000 | 53.3333     | 63.2201 | 1.1560          |
  | 0.2873        | 2.51  | 2500 | 52.5        | 62.0972 | 1.7569          |
  | 0.3298        | 3.01  | 3000 | 54.1667     | 63.9874 | 1.5193          |
  | 0.1314        | 3.51  | 3500 | 54.5833     | 63.9709 | 2.4847          |
  | 0.1444        | 4.01  | 4000 | 55.8333     | 65.8511 | 2.3190          |
  | 0.0792        | 4.51  | 4500 | 55.8333     | 65.2121 | 2.7640          |
  | 0.0843        | 5.01  | 5000 | 53.3333     | 62.7642 | 3.0308          |
  | 0.0419        | 5.51  | 5500 | 55.4167     | 65.3449 | 3.1388          |
  | 0.0398        | 6.01  | 6000 | 55.8333     | 65.1194 | 3.4126          |
  | 0.0307        | 6.51  | 6500 | 58.3333     | 66.8042 | 3.3642          |
  | 0.0231        | 7.01  | 7000 | 55.4167     | 64.5461 | 3.5422          |
  | 0.0093        | 7.52  | 7500 | 59.1667     | 67.8312 | 3.6604          |
  | 0.0126        | 8.02  | 8000 | 55.8333     | 65.3008 | 3.7195          |
  | 0.0063        | 8.52  | 8500 | 57.9167     | 65.9737 | 3.7285          |
  | 0.0069        | 9.02  | 9000 | 57.9167     | 65.9792 | 3.7144          |
  | 0.0044        | 9.52  | 9500 | 56.6667     | 65.2553 | 3.6763          |
  
  
  ### Framework versions
  
  - Transformers 4.25.1
  - Pytorch 1.13.0+cu117
  - Datasets 2.7.1
  - Tokenizers 0.13.2
  