--- license: apache-2.0 tags: - generated_from_keras_callback model-index: - name: nlp-esg-scoring/bert-base-finetuned-esg-TCFD-clean results: [] --- # nlp-esg-scoring/bert-base-finetuned-esg-TCFD-clean This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset. It achieves the following results on the evaluation set: - Train Loss: 2.7816 - Validation Loss: 2.3592 - Epoch: 9 ## 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: - optimizer: {'name': 'AdamWeightDecay', 'learning_rate': {'class_name': 'WarmUp', 'config': {'initial_learning_rate': 2e-05, 'decay_schedule_fn': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': -571, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, '__passive_serialization__': True}, 'warmup_steps': 1000, 'power': 1.0, 'name': None}}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01} - training_precision: float32 ### Training results | Train Loss | Validation Loss | Epoch | |:----------:|:---------------:|:-----:| | 2.7776 | 2.3647 | 0 | | 2.7744 | 2.3469 | 1 | | 2.7683 | 2.3527 | 2 | | 2.7743 | 2.3708 | 3 | | 2.7809 | 2.3819 | 4 | | 2.7674 | 2.3599 | 5 | | 2.7715 | 2.3541 | 6 | | 2.7766 | 2.3423 | 7 | | 2.7834 | 2.3535 | 8 | | 2.7816 | 2.3592 | 9 | ### Framework versions - Transformers 4.20.1 - TensorFlow 2.8.2 - Datasets 2.3.2 - Tokenizers 0.12.1