README.md

metadata

tags:
  - generated_from_trainer
datasets:
  - klue
metrics:
  - f1
model-index:
  - name: koelectra-small-discriminator-finetuned-klue-ner
    results:
      - task:
          name: Token Classification
          type: token-classification
        dataset:
          name: klue
          type: klue
          config: ner
          split: validation
          args: ner
        metrics:
          - name: F1
            type: f1
            value: 0.3287175309982803

koelectra-small-discriminator-finetuned-klue-ner

This model is a fine-tuned version of monologg/koelectra-small-discriminator on the klue dataset. It achieves the following results on the evaluation set:

• Loss: 0.4710
• F1: 0.3287

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: 16
• eval_batch_size: 16
• 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	F1
0.7889	1.0	1313	0.5859	0.2617
0.4927	2.0	2626	0.4945	0.2897
0.4201	3.0	3939	0.4710	0.3287

Framework versions

• Transformers 4.28.1
• Pytorch 2.0.0+cu118
• Datasets 2.12.0
• Tokenizers 0.13.3