Feature Extraction
Transformers
Safetensors
Italian
radgraph_it
radiology
information-extraction
named-entity-recognition
relation-extraction
medical
radgraph
custom_code
Instructions to use radgraphIT/Radgraph-IT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use radgraphIT/Radgraph-IT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="radgraphIT/Radgraph-IT", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("radgraphIT/Radgraph-IT", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
fold0 best @ epoch 7
Browse files- fold0/metrics.json +47 -47
fold0/metrics.json
CHANGED
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{
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"training_ner_perclass/Anatomy::definitely present": 0.
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"training_ner_perclass/Observation::definitely present": 0.
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"training_ner_perclass/Observation::definitely absent": 0.
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"training_ner_perclass/Observation::uncertain": 0.
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"training_ner_perclass/Anatomy::definitely absent": 0.
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"training_ner_perclass/Anatomy::uncertain": 0.0,
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"training_ner_macro_f1": 0.
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"training_radgraph-it__ner_precision": 0.
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"training_radgraph-it__ner_recall": 0.
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"training_radgraph-it__ner_f1": 0.
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"training_MEAN__ner_precision": 0.
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"training_MEAN__ner_recall": 0.
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"training_MEAN__ner_f1": 0.
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"training_relation_perclass/modify": 0.
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"training_relation_perclass/located_at": 0.
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"training_relation_perclass/suggestive_of": 0.
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"training_relation_macro_f1": 0.
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"training_radgraph-it__relation_precision": 0.
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"training_radgraph-it__relation_recall": 0.
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"training_radgraph-it__relation_f1": 0.
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"training_MEAN__relation_precision": 0.
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"training_MEAN__relation_recall": 0.
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"training_MEAN__relation_f1": 0.
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"training_loss":
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"validation_ner_perclass/Anatomy::definitely present": 0.
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"validation_MEAN__ner_recall": 0.
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"validation_MEAN__ner_f1": 0.
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"validation_relation_perclass/modify": 0.
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"validation_relation_perclass/located_at": 0.
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"validation_relation_perclass/suggestive_of": 0.
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"validation_relation_macro_f1": 0.
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"validation_radgraph-it__relation_precision": 0.
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"validation_radgraph-it__relation_recall": 0.
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"validation_radgraph-it__relation_f1": 0.
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"validation_MEAN__relation_precision": 0.
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"validation_MEAN__relation_recall": 0.
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"validation_MEAN__relation_f1": 0.
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"validation_loss":
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"best_epoch":
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}
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{
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"validation_radgraph-it__relation_precision": 0.7262357414448669,
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"best_epoch": 7
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}
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