ayodeji21
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clinical-severity-classifier

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clinical-severity-classifier

434 MB

Ctrl+K

Ctrl+K

1 contributor

History: 5 commits

ayodeji21's picture

Retrain: best of 4 seeds (seed=43). Critical F1 0.667 -> 0.699, precision 0.558 -> 0.604, recall held at 0.829. Overall test_f1 0.6746 -> 0.7225.

72baa05 verified 13 days ago

.gitattributes

1.52 kB
initial commit about 1 month ago
config.json

893 Bytes
Retrain with class-weighted loss + corrected acute-negation labels (critical recall 0.486 -> 0.829) 15 days ago
label_map.json

104 Bytes
Retrain with class-weighted loss + corrected acute-negation labels (critical recall 0.486 -> 0.829) 15 days ago
model.safetensors

433 MB
xet

Retrain: best of 4 seeds (seed=43). Critical F1 0.667 -> 0.699, precision 0.558 -> 0.604, recall held at 0.829. Overall test_f1 0.6746 -> 0.7225. 13 days ago
tokenizer.json

669 kB
Retrain with class-weighted loss + corrected acute-negation labels (critical recall 0.486 -> 0.829) 15 days ago
tokenizer_config.json

378 Bytes
Retrain with class-weighted loss + corrected acute-negation labels (critical recall 0.486 -> 0.829) 15 days ago
training_metrics.json

1.2 kB
Retrain: best of 4 seeds (seed=43). Critical F1 0.667 -> 0.699, precision 0.558 -> 0.604, recall held at 0.829. Overall test_f1 0.6746 -> 0.7225. 13 days ago