chkpt
This model is a fine-tuned version of monologg/koelectra-small-v3-discriminator on the generator dataset. It achieves the following results on the evaluation set:
- Loss: 1.2815
- Accuracy: 0.8826
- F1: 0.8276
- Precision: 0.7790
- Recall: 0.8826
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: 32
- eval_batch_size: 128
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
Training results
Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
---|---|---|---|---|---|---|---|
No log | 1.0 | 29 | 1.2815 | 0.8826 | 0.8276 | 0.7790 | 0.8826 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.1
- Datasets 2.15.0
- Tokenizers 0.15.0
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Base model
monologg/koelectra-small-v3-discriminatorEvaluation results
- Accuracy on generatorself-reported0.883
- F1 on generatorself-reported0.828
- Precision on generatorself-reported0.779
- Recall on generatorself-reported0.883