Token Classification
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
Eval Results (legacy)
Instructions to use EMBO/sd-panelization-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use EMBO/sd-panelization-v2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="EMBO/sd-panelization-v2")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("EMBO/sd-panelization-v2") model = AutoModelForTokenClassification.from_pretrained("EMBO/sd-panelization-v2") - Notebooks
- Google Colab
- Kaggle
Dr. Jorge Abreu Vicente commited on
Commit ·
819e5e1
1
Parent(s): cca912e
Update README.md
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README.md
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| 0.0053 | 1.0 | 474 | 0.0051 | 0.9981 | 0.9193 | 0.9391 | 0.9291 |
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### Framework versions
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- Transformers 4.15.0
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| 0.0053 | 1.0 | 474 | 0.0051 | 0.9981 | 0.9193 | 0.9391 | 0.9291 |
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| 0.0035 | 2.0 | 948 | 0.0047 | 0.9983 | 0.9214 | 0.9506 | 0.9358 |
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### Results in test set
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```
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precision recall f1-score support
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PANEL_START 0.92 0.95 0.94 7589
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micro avg 0.92 0.95 0.94 7589
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macro avg 0.92 0.95 0.94 7589
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weighted avg 0.92 0.95 0.94 7589
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{'eval_loss': 0.004700918216258287, 'eval_accuracy_score': 0.9982938520454369, 'eval_precision': 0.9214459062460084, 'eval_recall': 0.9505863750164713, 'eval_f1': 0.9357893371384097, 'eval_runtime': 40.9026, 'eval_samples_per_second': 44.692, 'eva
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l_steps_per_second': 0.196, 'epoch': 2.0}
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```
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### Framework versions
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- Transformers 4.15.0
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