ricardo-filho
/

mdeberta_all_15

@@ -14,143 +14,143 @@ should probably proofread and complete it, then remove this comment. -->
 This model is a fine-tuned version of [microsoft/mdeberta-v3-base](https://huggingface.co/microsoft/mdeberta-v3-base) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.3308
-- Aerospacemanufacturer Precision: 0.8117
-- Aerospacemanufacturer Recall: 0.9058
-- Aerospacemanufacturer F1: 0.8562
 - Aerospacemanufacturer Number: 138
-- Anatomicalstructure Precision: 0.716
-- Anatomicalstructure Recall: 0.7885
-- Anatomicalstructure F1: 0.7505
 - Anatomicalstructure Number: 227
-- Artwork Precision: 0.6028
-- Artwork Recall: 0.6489
-- Artwork F1: 0.625
 - Artwork Number: 131
-- Artist Precision: 0.7838
-- Artist Recall: 0.8252
-- Artist F1: 0.8040
 - Artist Number: 1722
-- Athlete Precision: 0.7835
-- Athlete Recall: 0.7552
-- Athlete F1: 0.7691
 - Athlete Number: 719
-- Carmanufacturer Precision: 0.7953
-- Carmanufacturer Recall: 0.8553
-- Carmanufacturer F1: 0.8242
 - Carmanufacturer Number: 159
-- Cleric Precision: 0.6630
-- Cleric Recall: 0.5970
-- Cleric F1: 0.6283
 - Cleric Number: 201
-- Clothing Precision: 0.6296
-- Clothing Recall: 0.6641
-- Clothing F1: 0.6464
 - Clothing Number: 128
-- Disease Precision: 0.6961
-- Disease Recall: 0.7172
-- Disease F1: 0.7065
 - Disease Number: 198
-- Drink Precision: 0.8
 - Drink Recall: 0.8112
-- Drink F1: 0.8056
 - Drink Number: 143
-- Facility Precision: 0.6849
-- Facility Recall: 0.7304
-- Facility F1: 0.7069
 - Facility Number: 497
-- Food Precision: 0.7156
-- Food Recall: 0.7056
-- Food F1: 0.7106
 - Food Number: 214
-- Humansettlement Precision: 0.8631
-- Humansettlement Recall: 0.8845
-- Humansettlement F1: 0.8737
 - Humansettlement Number: 1689
-- Medicalprocedure Precision: 0.7852
-- Medicalprocedure Recall: 0.7465
-- Medicalprocedure F1: 0.7653
 - Medicalprocedure Number: 142
-- Medication/vaccine Precision: 0.7602
-- Medication/vaccine Recall: 0.84
-- Medication/vaccine F1: 0.7981
 - Medication/vaccine Number: 200
-- Musicalgrp Precision: 0.7601
-- Musicalgrp Recall: 0.8091
-- Musicalgrp F1: 0.7839
 - Musicalgrp Number: 372
-- Musicalwork Precision: 0.7506
-- Musicalwork Recall: 0.7617
-- Musicalwork F1: 0.7561
 - Musicalwork Number: 407
-- Org Precision: 0.6943
-- Org Recall: 0.7151
-- Org F1: 0.7046
 - Org Number: 667
-- Otherloc Precision: 0.7767
-- Otherloc Recall: 0.7455
-- Otherloc F1: 0.7608
 - Otherloc Number: 224
-- Otherper Precision: 0.5351
-- Otherper Recall: 0.5588
-- Otherper F1: 0.5467
 - Otherper Number: 859
-- Otherprod Precision: 0.6453
-- Otherprod Recall: 0.6513
-- Otherprod F1: 0.6483
 - Otherprod Number: 433
-- Politician Precision: 0.6277
-- Politician Recall: 0.6153
-- Politician F1: 0.6214
 - Politician Number: 603
-- Privatecorp Precision: 0.8981
-- Privatecorp Recall: 0.7519
-- Privatecorp F1: 0.8186
 - Privatecorp Number: 129
-- Publiccorp Precision: 0.7362
-- Publiccorp Recall: 0.7695
-- Publiccorp F1: 0.7525
 - Publiccorp Number: 243
-- Scientist Precision: 0.5178
-- Scientist Recall: 0.5397
-- Scientist F1: 0.5285
 - Scientist Number: 189
-- Software Precision: 0.7806
-- Software Recall: 0.7883
-- Software F1: 0.7844
 - Software Number: 307
-- Sportsgrp Precision: 0.8804
-- Sportsgrp Recall: 0.8987
-- Sportsgrp F1: 0.8895
 - Sportsgrp Number: 385
-- Sportsmanager Precision: 0.6863
-- Sportsmanager Recall: 0.7216
-- Sportsmanager F1: 0.7035
 - Sportsmanager Number: 194
-- Station Precision: 0.7696
 - Station Recall: 0.8093
-- Station F1: 0.7889
 - Station Number: 194
-- Symptom Precision: 0.7333
-- Symptom Recall: 0.7674
-- Symptom F1: 0.7500
 - Symptom Number: 129
-- Vehicle Precision: 0.6471
-- Vehicle Recall: 0.6942
-- Vehicle F1: 0.6698
 - Vehicle Number: 206
-- Visualwork Precision: 0.7917
-- Visualwork Recall: 0.8225
-- Visualwork F1: 0.8068
 - Visualwork Number: 693
-- Writtenwork Precision: 0.7255
-- Writtenwork Recall: 0.7229
-- Writtenwork F1: 0.7242
 - Writtenwork Number: 563
-- Overall Precision: 0.7404
-- Overall Recall: 0.7600
-- Overall F1: 0.7501
-- Overall Accuracy: 0.9437
 ## Model description

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