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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: silviacamplani/distilbert-finetuned-dapt-ner-music |
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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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# silviacamplani/distilbert-finetuned-dapt-ner-music |
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This model is a fine-tuned version of [silviacamplani/distilbert-finetuned-dapt-lm-ai](https://huggingface.co/silviacamplani/distilbert-finetuned-dapt-lm-ai) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Train Loss: 0.7656 |
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- Validation Loss: 0.8288 |
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- Train Precision: 0.5590 |
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- Train Recall: 0.5968 |
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- Train F1: 0.5773 |
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- Train Accuracy: 0.7761 |
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- Epoch: 6 |
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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: {'inner_optimizer': {'class_name': 'AdamWeightDecay', 'config': {'name': 'AdamWeightDecay', 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 1e-05, 'decay_steps': 370, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01}}, 'dynamic': True, 'initial_scale': 32768.0, 'dynamic_growth_steps': 2000} |
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- training_precision: mixed_float16 |
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### Training results |
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| Train Loss | Validation Loss | Train Precision | Train Recall | Train F1 | Train Accuracy | Epoch | |
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|:----------:|:---------------:|:---------------:|:------------:|:--------:|:--------------:|:-----:| |
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| 2.5668 | 1.9780 | 0.0 | 0.0 | 0.0 | 0.5482 | 0 | |
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| 1.7189 | 1.4888 | 0.1152 | 0.0396 | 0.0589 | 0.5905 | 1 | |
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| 1.3060 | 1.2236 | 0.3797 | 0.3564 | 0.3677 | 0.6839 | 2 | |
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| 1.0982 | 1.0637 | 0.4716 | 0.4635 | 0.4675 | 0.7155 | 3 | |
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| 0.9450 | 0.9504 | 0.5176 | 0.5167 | 0.5171 | 0.7385 | 4 | |
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| 0.8398 | 0.8775 | 0.5474 | 0.5671 | 0.5570 | 0.7579 | 5 | |
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| 0.7656 | 0.8288 | 0.5590 | 0.5968 | 0.5773 | 0.7761 | 6 | |
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### Framework versions |
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- Transformers 4.20.1 |
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- TensorFlow 2.6.4 |
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- Datasets 2.1.0 |
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- Tokenizers 0.12.1 |
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