--- tags: - generated_from_trainer datasets: - custom_squad_v2 model-index: - name: kobigbird-test45-82280442 results: [] --- # kobigbird-test45-82280442 This model is a fine-tuned version of [monologg/kobigbird-bert-base](https://huggingface.co/monologg/kobigbird-bert-base) on the custom_squad_v2 dataset. It achieves the following results on the evaluation set: - Loss: 3.3333 ## 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: 0.00012 - train_batch_size: 32 - eval_batch_size: 32 - seed: 45 - gradient_accumulation_steps: 8 - total_train_batch_size: 256 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: cosine - num_epochs: 3 - mixed_precision_training: Native AMP ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:-----:|:----:|:---------------:| | No log | 0.84 | 4 | 4.3564 | | No log | 1.84 | 8 | 3.7946 | | No log | 2.84 | 12 | 3.3333 | ### Framework versions - Transformers 4.25.1 - Pytorch 1.10.2+cu113 - Datasets 2.8.0 - Tokenizers 0.13.2