--- tags: - generated_from_trainer datasets: - custom_squad_v2 model-index: - name: koelectra-68397641 results: [] --- # koelectra-68397641 This model is a fine-tuned version of [klue/roberta-large](https://huggingface.co/klue/roberta-large) on the custom_squad_v2 dataset. It achieves the following results on the evaluation set: - Loss: 1.3509 ## 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: 0.0002 - train_batch_size: 64 - eval_batch_size: 64 - seed: 30 - gradient_accumulation_steps: 8 - total_train_batch_size: 512 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: cosine - num_epochs: 2 ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:-----:|:----:|:---------------:| | No log | 0.99 | 21 | 1.8294 | | No log | 1.99 | 42 | 1.3509 | ### Framework versions - Transformers 4.25.1 - Pytorch 1.13.0+cu116 - Datasets 2.8.0 - Tokenizers 0.13.2