metadata
base_model: klue/roberta-base
tags:
- generated_from_trainer
datasets:
- korquad
model-index:
- name: roberta-keti-air-korquad
results: []
roberta-keti-air-korquad
This model is a fine-tuned version of klue/roberta-base on the korquad dataset. It achieves the following results on the evaluation set:
- Loss: 0.6731
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: 2e-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 |
|---|---|---|---|
| 0.5572 | 1.0 | 2000 | 0.5212 |
| 0.3247 | 2.0 | 4000 | 0.5645 |
| 0.1786 | 3.0 | 6000 | 0.6731 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3