roberta-base-klue-ynat-classification
This model is a fine-tuned version of klue/roberta-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.1490
- ์ ํ๋: 0.82
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: 8
- eval_batch_size: 8
- 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 | ์ ํ๋ |
|---|---|---|---|---|
| No log | 1.0 | 125 | 0.9073 | 0.82 |
| No log | 2.0 | 250 | 0.9611 | 0.82 |
| No log | 3.0 | 375 | 0.9956 | 0.83 |
Framework versions
- Transformers 4.40.1
- Pytorch 2.5.0+cu118
- Datasets 2.19.0
- Tokenizers 0.19.1
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Model tree for yongkwon/roberta-base-klue-ynat-classification
Base model
klue/roberta-base