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--- |
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license: cc-by-nc-sa-4.0 |
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tags: |
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- generated_from_trainer |
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datasets: |
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- klue |
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metrics: |
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- f1 |
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model-index: |
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- name: kogpt2-base-v2 |
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results: |
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- task: |
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name: Token Classification |
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type: token-classification |
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dataset: |
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name: klue |
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type: klue |
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config: ner |
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split: validation |
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args: ner |
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metrics: |
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- name: F1 |
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type: f1 |
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value: 0.37298165525403665 |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# kogpt2-base-v2 |
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This model is a fine-tuned version of [skt/kogpt2-base-v2](https://huggingface.co/skt/kogpt2-base-v2) on the klue dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4076 |
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- F1: 0.3730 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 5e-05 |
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- train_batch_size: 24 |
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- eval_batch_size: 24 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 3 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | F1 | |
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|:-------------:|:-----:|:----:|:---------------:|:------:| |
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| 0.6084 | 1.0 | 876 | 0.5353 | 0.2118 | |
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| 0.3911 | 2.0 | 1752 | 0.4691 | 0.3041 | |
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| 0.2855 | 3.0 | 2628 | 0.4076 | 0.3730 | |
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### Framework versions |
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- Transformers 4.28.1 |
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- Pytorch 2.0.0+cu118 |
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- Datasets 2.12.0 |
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- Tokenizers 0.13.3 |
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