--- tags: - generated_from_keras_callback model-index: - name: nlp-esg-scoring/bert-base-finetuned-esg-a4s results: [] --- <!-- This model card has been generated automatically according to the information Keras had access to. You should probably proofread and complete it, then remove this comment. --> # nlp-esg-scoring/bert-base-finetuned-esg-a4s This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set: - Train Loss: 1.9437 - Validation Loss: 1.9842 - 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': -812, '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 | |:----------:|:---------------:|:-----:| | 1.9200 | 2.0096 | 0 | | 1.9249 | 1.9926 | 1 | | 1.9366 | 2.0100 | 2 | | 1.9327 | 1.9814 | 3 | | 1.9266 | 2.0152 | 4 | | 1.9332 | 2.0519 | 5 | | 1.9203 | 2.0437 | 6 | | 1.9238 | 2.0118 | 7 | | 1.9290 | 2.0019 | 8 | | 1.9437 | 1.9842 | 9 | ### Framework versions - Transformers 4.20.1 - TensorFlow 2.8.2 - Datasets 2.3.2 - Tokenizers 0.12.1