Instructions to use MLRS/BERTu-ner-allennlp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- AllenNLP
How to use MLRS/BERTu-ner-allennlp with AllenNLP:
import allennlp_models from allennlp.predictors.predictor import Predictor predictor = Predictor.from_path("hf://MLRS/BERTu-ner-allennlp") - Notebooks
- Google Colab
- Kaggle
| { | |
| "best_epoch": 33, | |
| "peak_worker_0_memory_MB": 4608.48828125, | |
| "peak_gpu_0_memory_MB": 4295.302734375, | |
| "training_duration": "0:02:50.854943", | |
| "training_start_epoch": 0, | |
| "training_epochs": 52, | |
| "epoch": 52, | |
| "training_ner_accuracy": 1.0, | |
| "training_ner_accuracy3": 1.0, | |
| "training_ner_precision-overall": 0.9999999999999991, | |
| "training_ner_recall-overall": 0.9999999999999991, | |
| "training_ner_f1-measure-overall": 0.9999999999999492, | |
| "training_loss": 7.62939453125e-06, | |
| "training_worker_0_memory_MB": 4608.48828125, | |
| "training_gpu_0_memory_MB": 4295.302734375, | |
| "validation_ner_accuracy": 0.9371293001186239, | |
| "validation_ner_accuracy3": 0.9572953736654805, | |
| "validation_ner_precision-overall": 0.7948717948717942, | |
| "validation_ner_recall-overall": 0.7815126050420161, | |
| "validation_ner_f1-measure-overall": 0.7881355932202884, | |
| "validation_loss": 234.9528350830078, | |
| "best_validation_ner_accuracy": 0.9442467378410438, | |
| "best_validation_ner_accuracy3": 0.9584816132858838, | |
| "best_validation_ner_precision-overall": 0.822033898305084, | |
| "best_validation_ner_recall-overall": 0.8151260504201674, | |
| "best_validation_ner_f1-measure-overall": 0.8185654008438312, | |
| "best_validation_loss": 242.68551635742188 | |
| } |