--- license: apache-2.0 tags: - generated_from_trainer model-index: - name: bert_large_subjqa_model_v3 results: [] --- # bert_large_subjqa_model_v3 This model is a fine-tuned version of [bert-large-uncased-whole-word-masking-finetuned-squad](https://huggingface.co/bert-large-uncased-whole-word-masking-finetuned-squad) on the None dataset. It achieves the following results on the evaluation set: - Loss: 8.8423 ## 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: 15 ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:-----:|:----:|:---------------:| | No log | 1.0 | 410 | 2.3971 | | 2.5672 | 2.0 | 820 | 2.7380 | | 1.6385 | 3.0 | 1230 | 3.1387 | | 0.8467 | 4.0 | 1640 | 4.0478 | | 0.4177 | 5.0 | 2050 | 4.9824 | | 0.4177 | 6.0 | 2460 | 5.5992 | | 0.2208 | 7.0 | 2870 | 6.2417 | | 0.1469 | 8.0 | 3280 | 7.1139 | | 0.0966 | 9.0 | 3690 | 8.0166 | | 0.0746 | 10.0 | 4100 | 7.7937 | | 0.0589 | 11.0 | 4510 | 7.8738 | | 0.0589 | 12.0 | 4920 | 8.3362 | | 0.0439 | 13.0 | 5330 | 8.6546 | | 0.0388 | 14.0 | 5740 | 8.8050 | | 0.029 | 15.0 | 6150 | 8.8423 | ### Framework versions - Transformers 4.28.0 - Pytorch 1.13.0a0+d321be6 - Datasets 2.12.0 - Tokenizers 0.13.3