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update model card README.md
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README.md
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@@ -14,143 +14,143 @@ should probably proofread and complete it, then remove this comment. -->
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This model is a fine-tuned version of [microsoft/mdeberta-v3-base](https://huggingface.co/microsoft/mdeberta-v3-base) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- Aerospacemanufacturer Precision: 0.
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- Aerospacemanufacturer Recall: 0.
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- Aerospacemanufacturer F1: 0.
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- Aerospacemanufacturer Number: 138
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- Anatomicalstructure Precision: 0.
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- Anatomicalstructure Recall: 0.
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- Anatomicalstructure F1: 0.
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- Anatomicalstructure Number: 227
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- Artwork Precision: 0.
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- Artwork Recall: 0.
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- Artwork F1: 0.
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- Artwork Number: 131
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- Artist Precision: 0.
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- Artist Recall: 0.
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- Artist F1: 0.
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- Artist Number: 1722
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- Athlete Precision: 0.
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- Athlete Recall: 0.
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- Athlete F1: 0.
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- Athlete Number: 719
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- Carmanufacturer Precision: 0.
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- Carmanufacturer Recall: 0.
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- Carmanufacturer F1: 0.
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- Carmanufacturer Number: 159
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- Cleric Precision: 0.
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- Cleric Recall: 0.
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- Cleric F1: 0.
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- Cleric Number: 201
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- Clothing Precision: 0.
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- Clothing Recall: 0.
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- Clothing F1: 0.
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- Clothing Number: 128
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- Disease Precision: 0.
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- Disease Recall: 0.
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- Disease F1: 0.
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- Disease Number: 198
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- Drink Precision: 0.
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- Drink Recall: 0.8112
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- Drink F1: 0.
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- Drink Number: 143
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- Facility Precision: 0.
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- Facility Recall: 0.
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- Facility F1: 0.
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- Facility Number: 497
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- Food Precision: 0.
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- Food Recall: 0.
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- Food F1: 0.
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- Food Number: 214
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- Humansettlement Precision: 0.
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- Humansettlement Recall: 0.
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- Humansettlement F1: 0.
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- Humansettlement Number: 1689
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- Medicalprocedure Precision: 0.
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- Medicalprocedure Recall: 0.
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- Medicalprocedure F1: 0.
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- Medicalprocedure Number: 142
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- Medication/vaccine Precision: 0.
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- Medication/vaccine Recall: 0.
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- Medication/vaccine F1: 0.
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- Medication/vaccine Number: 200
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- Musicalgrp Precision: 0.
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- Musicalgrp Recall: 0.
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- Musicalgrp F1: 0.
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- Musicalgrp Number: 372
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- Musicalwork Precision: 0.
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- Musicalwork Recall: 0.
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- Musicalwork F1: 0.
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- Musicalwork Number: 407
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- Org Precision: 0.
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- Org Recall: 0.
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- Org F1: 0.
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- Org Number: 667
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- Otherloc Precision: 0.
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- Otherloc Recall: 0.
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- Otherloc F1: 0.
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- Otherloc Number: 224
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- Otherper Precision: 0.
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- Otherper Recall: 0.
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- Otherper F1: 0.
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- Otherper Number: 859
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- Otherprod Precision: 0.
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- Otherprod Recall: 0.
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- Otherprod F1: 0.
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- Otherprod Number: 433
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- Politician Precision: 0.
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- Politician Recall: 0.
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- Politician F1: 0.
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- Politician Number: 603
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- Privatecorp Precision: 0.
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- Privatecorp Recall: 0.
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- Privatecorp F1: 0.
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- Privatecorp Number: 129
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- Publiccorp Precision: 0.
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- Publiccorp Recall: 0.
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- Publiccorp F1: 0.
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- Publiccorp Number: 243
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- Scientist Precision: 0.
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- Scientist Recall: 0.
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- Scientist F1: 0.
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- Scientist Number: 189
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- Software Precision: 0.
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- Software Recall: 0.
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- Software F1: 0.
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- Software Number: 307
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- Sportsgrp Precision: 0.
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- Sportsgrp Recall: 0.
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- Sportsgrp F1: 0.
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- Sportsgrp Number: 385
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- Sportsmanager Precision: 0.
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- Sportsmanager Recall: 0.
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- Sportsmanager F1: 0.
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- Sportsmanager Number: 194
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- Station Precision: 0.
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- Station Recall: 0.8093
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- Station F1: 0.
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- Station Number: 194
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- Symptom Precision: 0.
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- Symptom Recall: 0.
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- Symptom F1: 0.
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- Symptom Number: 129
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- Vehicle Precision: 0.
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- Vehicle Recall: 0.
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- Vehicle F1: 0.
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- Vehicle Number: 206
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- Visualwork Precision: 0.
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- Visualwork Recall: 0.
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- Visualwork F1: 0.
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- Visualwork Number: 693
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- Writtenwork Precision: 0.
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- Writtenwork Recall: 0.
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- Writtenwork F1: 0.
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- Writtenwork Number: 563
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- Overall Precision: 0.
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- Overall Recall: 0.
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- Overall F1: 0.
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- Overall Accuracy: 0.
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## Model description
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This model is a fine-tuned version of [microsoft/mdeberta-v3-base](https://huggingface.co/microsoft/mdeberta-v3-base) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.2148
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- Aerospacemanufacturer Precision: 0.7073
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- Aerospacemanufacturer Recall: 0.8406
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- Aerospacemanufacturer F1: 0.7682
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- Aerospacemanufacturer Number: 138
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- Anatomicalstructure Precision: 0.6762
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- Anatomicalstructure Recall: 0.7269
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- Anatomicalstructure F1: 0.7006
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- Anatomicalstructure Number: 227
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- Artwork Precision: 0.5802
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- Artwork Recall: 0.5802
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- Artwork F1: 0.5802
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- Artwork Number: 131
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- Artist Precision: 0.7565
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- Artist Recall: 0.7938
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- Artist F1: 0.7747
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- Artist Number: 1722
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- Athlete Precision: 0.7195
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- Athlete Recall: 0.7636
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- Athlete F1: 0.7409
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- Athlete Number: 719
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- Carmanufacturer Precision: 0.6806
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- Carmanufacturer Recall: 0.8176
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- Carmanufacturer F1: 0.7429
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- Carmanufacturer Number: 159
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- Cleric Precision: 0.6867
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- Cleric Recall: 0.5124
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- Cleric F1: 0.5869
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- Cleric Number: 201
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- Clothing Precision: 0.5797
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- Clothing Recall: 0.625
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- Clothing F1: 0.6015
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- Clothing Number: 128
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- Disease Precision: 0.6262
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- Disease Recall: 0.6768
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- Disease F1: 0.6505
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- Disease Number: 198
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- Drink Precision: 0.7296
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- Drink Recall: 0.8112
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- Drink F1: 0.7682
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- Drink Number: 143
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- Facility Precision: 0.6439
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- Facility Recall: 0.7203
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- Facility F1: 0.6800
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- Facility Number: 497
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- Food Precision: 0.6786
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- Food Recall: 0.5327
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- Food F1: 0.5969
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- Food Number: 214
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- Humansettlement Precision: 0.8594
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- Humansettlement Recall: 0.8792
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- Humansettlement F1: 0.8692
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- Humansettlement Number: 1689
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- Medicalprocedure Precision: 0.6545
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- Medicalprocedure Recall: 0.7606
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- Medicalprocedure F1: 0.7036
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- Medicalprocedure Number: 142
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- Medication/vaccine Precision: 0.7183
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- Medication/vaccine Recall: 0.765
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- Medication/vaccine F1: 0.7409
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- Medication/vaccine Number: 200
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- Musicalgrp Precision: 0.7132
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- Musicalgrp Recall: 0.7688
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- Musicalgrp F1: 0.7400
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- Musicalgrp Number: 372
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- Musicalwork Precision: 0.7513
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- Musicalwork Recall: 0.7052
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- Musicalwork F1: 0.7275
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- Musicalwork Number: 407
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- Org Precision: 0.6335
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- Org Recall: 0.6117
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- Org F1: 0.6224
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- Org Number: 667
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- Otherloc Precision: 0.7514
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- Otherloc Recall: 0.6205
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- Otherloc F1: 0.6797
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- Otherloc Number: 224
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- Otherper Precision: 0.4558
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- Otherper Recall: 0.5821
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- Otherper F1: 0.5112
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- Otherper Number: 859
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- Otherprod Precision: 0.6076
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- Otherprod Recall: 0.5543
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- Otherprod F1: 0.5797
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- Otherprod Number: 433
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- Politician Precision: 0.6228
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- Politician Recall: 0.4793
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- Politician F1: 0.5417
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- Politician Number: 603
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- Privatecorp Precision: 0.7159
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- Privatecorp Recall: 0.4884
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- Privatecorp F1: 0.5806
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- Privatecorp Number: 129
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- Publiccorp Precision: 0.56
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- Publiccorp Recall: 0.6914
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- Publiccorp F1: 0.6188
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- Publiccorp Number: 243
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- Scientist Precision: 0.4545
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- Scientist Recall: 0.4497
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- Scientist F1: 0.4521
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- Scientist Number: 189
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- Software Precision: 0.7159
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- Software Recall: 0.8046
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- Software F1: 0.7577
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- Software Number: 307
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- Sportsgrp Precision: 0.7845
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- Sportsgrp Recall: 0.8701
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- Sportsgrp F1: 0.8251
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- Sportsgrp Number: 385
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- Sportsmanager Precision: 0.6667
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- Sportsmanager Recall: 0.5361
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- Sportsmanager F1: 0.5943
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- Sportsmanager Number: 194
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- Station Precision: 0.7406
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- Station Recall: 0.8093
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- Station F1: 0.7734
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- Station Number: 194
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- Symptom Precision: 0.6316
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- Symptom Recall: 0.5581
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- Symptom F1: 0.5926
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- Symptom Number: 129
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- Vehicle Precision: 0.5514
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- Vehicle Recall: 0.6505
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- Vehicle F1: 0.5969
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- Vehicle Number: 206
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- Visualwork Precision: 0.7538
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- Visualwork Recall: 0.7951
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- Visualwork F1: 0.7739
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- Visualwork Number: 693
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- Writtenwork Precision: 0.6913
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- Writtenwork Recall: 0.6803
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- Writtenwork F1: 0.6858
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- Writtenwork Number: 563
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- Overall Precision: 0.6928
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- Overall Recall: 0.7142
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- Overall F1: 0.7033
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- Overall Accuracy: 0.9355
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## Model description
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