--- license: apache-2.0 tags: - generated_from_trainer model-index: - name: 20230430-001-baseline-mbert-qa-squadv2-ft-clickbait-spoiling results: [] datasets: - Tugay/clickbait-spoiling - squad_v2 language: - id --- # T-BASELINE001 # 20230430-001-baseline-mbert-qa-squadv2-ft-clickbait-spoiling This model is a fine-tuned version of [intanm/mbert-squadv2](https://huggingface.co/intanm/mbert-squadv2) on the None dataset. It achieves the following results on the evaluation set: - Loss: 4.8747 ## 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: 16 - eval_batch_size: 16 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 10 ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:-----:|:----:|:---------------:| | No log | 1.0 | 200 | 2.8065 | | No log | 2.0 | 400 | 2.8088 | | 2.5698 | 3.0 | 600 | 3.1652 | | 2.5698 | 4.0 | 800 | 3.5464 | | 1.1384 | 5.0 | 1000 | 3.8477 | | 1.1384 | 6.0 | 1200 | 4.1725 | | 1.1384 | 7.0 | 1400 | 4.5057 | | 0.4763 | 8.0 | 1600 | 4.7721 | | 0.4763 | 9.0 | 1800 | 4.8970 | | 0.2594 | 10.0 | 2000 | 4.8747 | ### Framework versions - Transformers 4.28.1 - Pytorch 2.0.0+cu118 - Datasets 2.12.0 - Tokenizers 0.13.3