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marfinbirt/distilbert-base-uncased
distilbert-base-uncased is a token classification model from marfinbirt. Use it when you need labels on individual words, such as names. It is set up for transformers. The card lists the license as gpl-3.0.
{'ATTRACTION': {'precision': 0.7984496124031008, 'recall': 0.7518248175182481, 'f1': 0.7744360902255639, 'number': 137}, 'CHARACTER': {'precision': 0.9814453125, 'recall': 1.0, 'f1': 0.9906357811729917, 'number': 1005…
Downloads · 30 days
7
11% of all-time downloads
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From the Hugging Face model README
{'ATTRACTION': {'precision': 0.7984496124031008, 'recall': 0.7518248175182481, 'f1': 0.7744360902255639, 'number': 137}, 'CHARACTER': {'precision': 0.9814453125, 'recall': 1.0, 'f1': 0.9906357811729917, 'number': 1005}, 'DINING': {'precision': 0.7542372881355932, 'recall': 0.7542372881355932, 'f1': 0.7542372881355932, 'number': 118}, 'ENTERTAINMENT': {'precision': 0.7428571428571429, 'recall': 0.7123287671232876, 'f1': 0.7272727272727273, 'number': 73}, 'HOTEL': {'precision': 0.978021978021978, 'recall': 0.956989247311828, 'f1': 0.967391304347826, 'number': 93}, 'PARK': {'precision': 0.9315068493150684, 'recall': 0.9577464788732394, 'f1': 0.9444444444444444, 'number': 71}, 'overall_precision': 0.93421926910299, 'overall_recall': 0.9392117568470274, 'overall_f1': 0.9367088607594938, 'overall_accuracy': 0.9945025654694476}