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--- |
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license: apache-2.0 |
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tags: |
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- generated_from_keras_callback |
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model-index: |
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- name: nlp-esg-scoring/bert-base-finetuned-esg-TCFD-clean |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information Keras had access to. You should |
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probably proofread and complete it, then remove this comment. --> |
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# nlp-esg-scoring/bert-base-finetuned-esg-TCFD-clean |
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This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Train Loss: 2.7816 |
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- Validation Loss: 2.3592 |
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- Epoch: 9 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- 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} |
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- training_precision: float32 |
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### Training results |
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| Train Loss | Validation Loss | Epoch | |
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|:----------:|:---------------:|:-----:| |
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| 2.7776 | 2.3647 | 0 | |
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| 2.7744 | 2.3469 | 1 | |
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| 2.7683 | 2.3527 | 2 | |
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| 2.7743 | 2.3708 | 3 | |
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| 2.7809 | 2.3819 | 4 | |
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| 2.7674 | 2.3599 | 5 | |
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| 2.7715 | 2.3541 | 6 | |
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| 2.7766 | 2.3423 | 7 | |
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| 2.7834 | 2.3535 | 8 | |
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| 2.7816 | 2.3592 | 9 | |
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### Framework versions |
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- Transformers 4.20.1 |
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- TensorFlow 2.8.2 |
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- Datasets 2.3.2 |
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- Tokenizers 0.12.1 |
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