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models/ud_ewt_gum_pud_20250611/README.md

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+## Test Results
+
+```text
+----- xpos classification report -----
+              precision    recall  f1-score   support
+
+           $       0.91      1.00      0.95        49
+          ''       1.00      0.99      0.99       228
+           ,       0.97      0.99      0.98      2403
+       -LRB-       1.00      1.00      1.00       190
+       -RRB-       1.00      1.00      1.00       190
+           .       1.00      1.00      1.00      2860
+           :       0.89      0.76      0.82       245
+         ADD       0.93      0.83      0.88        84
+         AFX       0.00      0.00      0.00         4
+          CC       1.00      1.00      1.00      1644
+          CD       0.97      0.98      0.97      1164
+          DT       1.00      1.00      1.00      4862
+          EX       0.98      1.00      0.99        94
+          FW       0.75      0.18      0.30        49
+        HYPH       0.98      0.95      0.96       172
+          IN       0.99      0.99      0.99      6100
+          JJ       0.94      0.93      0.94      3612
+         JJR       0.88      0.94      0.91       120
+         JJS       0.96      0.92      0.94       128
+          LS       1.00      0.67      0.80         3
+          MD       1.00      1.00      1.00       572
+         NFP       0.95      0.98      0.96        91
+          NN       0.96      0.92      0.94      7636
+         NNP       0.87      0.94      0.90      4237
+        NNPS       0.67      0.84      0.75       160
+         NNS       0.99      0.97      0.98      2785
+         PDT       0.94      0.94      0.94        32
+         POS       0.99      0.99      0.99       168
+         PRP       1.00      1.00      1.00      1941
+        PRP$       0.99      1.00      0.99       685
+          RB       0.94      0.94      0.94      2163
+         RBR       0.81      0.93      0.87        80
+         RBS       0.85      0.91      0.88        56
+          RP       0.82      0.87      0.85       182
+         SYM       0.68      0.64      0.66        42
+          TO       0.99      0.99      0.99       718
+          UH       0.90      0.95      0.92        99
+          VB       0.98      0.98      0.98      1765
+         VBD       0.99      0.99      0.99      1630
+         VBG       0.96      0.96      0.96       837
+         VBN       0.95      0.96      0.95      1217
+         VBP       0.98      0.97      0.98      1073
+         VBZ       0.99      1.00      1.00      1101
+         WDT       0.95      0.98      0.97       291
+          WP       0.98      0.98      0.98       170
+         WP$       0.00      0.00      0.00         7
+         WRB       0.99      0.99      0.99       192
+          ``       0.99      1.00      0.99       227
+
+    accuracy                           0.97     54358
+   macro avg       0.90      0.89      0.89     54358
+weighted avg       0.97      0.97      0.97     54358
+
+----- deprel classification report -----
+              precision    recall  f1-score   support
+
+         acl       0.86      0.81      0.84       469
+   acl:relcl       0.92      0.93      0.92       497
+       advcl       0.85      0.85      0.85       794
+      advmod       0.93      0.92      0.93      2244
+        amod       0.94      0.93      0.94      3167
+       appos       0.63      0.78      0.70       405
+         aux       0.99      0.99      0.99      1165
+    aux:pass       0.96      0.97      0.96       499
+        case       0.98      0.99      0.98      5459
+          cc       0.99      0.99      0.99      1653
+  cc:preconj       0.90      0.87      0.88        30
+       ccomp       0.77      0.78      0.77       388
+    compound       0.85      0.85      0.85      2437
+compound:prt       0.84      0.91      0.87       180
+        conj       0.93      0.95      0.94      1901
+         cop       0.93      0.97      0.95       961
+       csubj       0.63      0.61      0.62        59
+  csubj:pass       0.00      0.00      0.00         5
+         det       1.00      1.00      1.00      4643
+  det:predet       0.84      0.84      0.84        32
+   discourse       0.91      0.85      0.88       102
+        expl       0.85      0.96      0.90       142
+       fixed       0.86      0.77      0.81       190
+        flat       0.86      0.83      0.84       589
+        iobj       0.83      0.74      0.78        53
+        list       0.66      0.43      0.52       251
+        mark       0.93      0.97      0.95      1542
+        nmod       0.89      0.91      0.90      2373
+  nmod:npmod       0.33      0.02      0.03        62
+   nmod:poss       0.99      0.99      0.99       855
+   nmod:tmod       0.67      0.51      0.58       106
+       nsubj       0.97      0.96      0.96      3655
+  nsubj:pass       0.92      0.95      0.93       438
+      nummod       0.81      0.93      0.86       616
+         obj       0.97      0.97      0.97      2418
+         obl       0.92      0.89      0.90      2747
+   obl:npmod       0.54      0.53      0.54        73
+    obl:tmod       0.55      0.80      0.65        82
+   parataxis       0.71      0.47      0.57       271
+       punct       1.00      1.00      1.00      6547
+        root       0.95      0.94      0.95      3558
+    vocative       0.71      0.67      0.69        18
+       xcomp       0.87      0.87      0.87       682
+
+    accuracy                           0.94     54358
+   macro avg       0.82      0.81      0.81     54358
+weighted avg       0.94      0.94      0.94     54358
+
+----- pos classification report -----
+              precision    recall  f1-score   support
+
+         ADJ       0.94      0.93      0.94      3866
+         ADP       0.98      0.98      0.98      5528
+         ADV       0.93      0.90      0.91      2230
+         AUX       0.98      0.99      0.98      2640
+       CCONJ       1.00      1.00      1.00      1643
+         DET       0.99      0.99      0.99      4731
+        INTJ       0.90      0.93      0.91       101
+        NOUN       0.97      0.95      0.96     10146
+         NUM       0.97      0.98      0.98      1161
+        PART       0.96      0.99      0.97      1069
+        PRON       0.98      0.99      0.98      3400
+       PROPN       0.91      0.95      0.93      4585
+       PUNCT       1.00      1.00      1.00      6584
+       SCONJ       0.88      0.95      0.91       838
+         SYM       0.87      0.86      0.87       144
+        VERB       0.98      0.97      0.97      5555
+           X       0.85      0.60      0.70       137
+
+    accuracy                           0.97     54358
+   macro avg       0.95      0.94      0.94     54358
+weighted avg       0.97      0.97      0.97     54358
+
+----- Case classification report -----
+              precision    recall  f1-score   support
+
+         Acc       0.86      0.98      0.92       377
+         Nom       1.00      0.96      0.98      1554
+           X       1.00      1.00      1.00     52427
+
+    accuracy                           1.00     54358
+   macro avg       0.95      0.98      0.97     54358
+weighted avg       1.00      1.00      1.00     54358
+
+----- Definite classification report -----
+              precision    recall  f1-score   support
+
+         Def       1.00      1.00      1.00      2947
+         Ind       1.00      1.00      1.00      1182
+           X       1.00      1.00      1.00     50229
+
+    accuracy                           1.00     54358
+   macro avg       1.00      1.00      1.00     54358
+weighted avg       1.00      1.00      1.00     54358
+
+----- Degree classification report -----
+              precision    recall  f1-score   support
+
+         Cmp       0.84      0.96      0.89       160
+         Pos       0.93      0.94      0.94      3702
+         Sup       0.99      0.99      0.99       147
+           X       1.00      0.99      1.00     50349
+
+    accuracy                           0.99     54358
+   macro avg       0.94      0.97      0.95     54358
+weighted avg       0.99      0.99      0.99     54358
+
+----- Foreign classification report -----
+              precision    recall  f1-score   support
+
+           X       1.00      1.00      1.00     54309
+         Yes       0.55      0.24      0.34        49
+
+    accuracy                           1.00     54358
+   macro avg       0.77      0.62      0.67     54358
+weighted avg       1.00      1.00      1.00     54358
+
+----- Gender classification report -----
+              precision    recall  f1-score   support
+
+         Fem       1.00      1.00      1.00       135
+        Masc       1.00      1.00      1.00       395
+        Neut       1.00      1.00      1.00       436
+           X       1.00      1.00      1.00     53392
+
+    accuracy                           1.00     54358
+   macro avg       1.00      1.00      1.00     54358
+weighted avg       1.00      1.00      1.00     54358
+
+----- Mood classification report -----
+              precision    recall  f1-score   support
+
+         Imp       0.84      0.96      0.89       203
+         Ind       0.99      0.99      0.99      3804
+           X       1.00      1.00      1.00     50351
+
+    accuracy                           1.00     54358
+   macro avg       0.94      0.98      0.96     54358
+weighted avg       1.00      1.00      1.00     54358
+
+----- NumType classification report -----
+              precision    recall  f1-score   support
+
+        Card       0.97      0.98      0.98      1164
+        Mult       1.00      0.64      0.78        14
+         Ord       0.93      0.87      0.90       111
+           X       1.00      1.00      1.00     53069
+
+    accuracy                           1.00     54358
+   macro avg       0.98      0.87      0.91     54358
+weighted avg       1.00      1.00      1.00     54358
+
+----- Number classification report -----
+              precision    recall  f1-score   support
+
+        Plur       0.98      0.98      0.98      3639
+        Sing       0.98      0.98      0.98     15212
+           X       0.99      0.99      0.99     35507
+
+    accuracy                           0.99     54358
+   macro avg       0.98      0.98      0.98     54358
+weighted avg       0.99      0.99      0.99     54358
+
+----- Person classification report -----
+              precision    recall  f1-score   support
+
+           1       0.99      1.00      0.99       857
+           2       1.00      0.99      1.00       472
+           3       1.00      1.00      1.00      2772
+           X       1.00      1.00      1.00     50257
+
+    accuracy                           1.00     54358
+   macro avg       1.00      1.00      1.00     54358
+weighted avg       1.00      1.00      1.00     54358
+
+----- Polarity classification report -----
+              precision    recall  f1-score   support
+
+         Neg       0.98      0.98      0.98       240
+         Pos       1.00      0.88      0.93         8
+           X       1.00      1.00      1.00     54110
+
+    accuracy                           1.00     54358
+   macro avg       0.99      0.95      0.97     54358
+weighted avg       1.00      1.00      1.00     54358
+
+----- PronType classification report -----
+              precision    recall  f1-score   support
+
+         Art       1.00      1.00      1.00      4129
+         Dem       0.99      0.98      0.99       517
+         Int       0.98      0.93      0.95       307
+         Neg       0.96      0.99      0.98        82
+         Prs       1.00      1.00      1.00      2614
+         Rel       0.91      0.98      0.94       347
+           X       1.00      1.00      1.00     46362
+
+    accuracy                           1.00     54358
+   macro avg       0.98      0.98      0.98     54358
+weighted avg       1.00      1.00      1.00     54358
+
+----- Poss classification report -----
+              precision    recall  f1-score   support
+
+           X       1.00      1.00      1.00     53671
+         Yes       1.00      0.99      1.00       687
+
+    accuracy                           1.00     54358
+   macro avg       1.00      1.00      1.00     54358
+weighted avg       1.00      1.00      1.00     54358
+
+----- Reflex classification report -----
+              precision    recall  f1-score   support
+
+           X       1.00      1.00      1.00     54337
+         Yes       0.95      0.86      0.90        21
+
+    accuracy                           1.00     54358
+   macro avg       0.97      0.93      0.95     54358
+weighted avg       1.00      1.00      1.00     54358
+
+----- Tense classification report -----
+              precision    recall  f1-score   support
+
+        Past       0.98      0.99      0.98      2847
+        Pres       0.97      0.99      0.98      2289
+           X       1.00      1.00      1.00     49222
+
+    accuracy                           1.00     54358
+   macro avg       0.98      0.99      0.99     54358
+weighted avg       1.00      1.00      1.00     54358
+
+----- VerbForm classification report -----
+              precision    recall  f1-score   support
+
+         Fin       0.99      0.99      0.99      4579
+         Ger       0.95      0.91      0.93       722
+         Inf       0.98      0.97      0.97      1562
+        Part       0.93      0.96      0.94      1332
+           X       1.00      1.00      1.00     46163
+
+    accuracy                           0.99     54358
+   macro avg       0.97      0.97      0.97     54358
+weighted avg       0.99      0.99      0.99     54358
+```
+
+## Training logs
+
+```
+$ python -m multi_head_trainer --data-path dataset/ud_ewt_gum_pud_20250611 --save-path models/ud_ewt_gum_pud_20250611 --from-base microsoft/deberta-v3-base --train -E 16 -A 17
+{'loss': 231.4746, 'grad_norm': 106.06476593017578, 'learning_rate': 1.1363636363636366e-05, 'epoch': 0.91}
+{'eval_loss': 7.66445255279541, 'eval_f1_macro': 0.3212549341453801, 'eval_xpos_accuracy': 0.453834308592547, 'eval_xpos_precision_macro': 0.0985374290046747, 'eval_xpos_recall_macro': 0.11212050248120882, 'eval_xpos_f1_macro': 0.08354665721491084, 'eval_xpos_precision_micro': 0.453834308592547, 'eval_xpos_recall_micro': 0.453834308592547, 'eval_xpos_f1_micro': 0.453834308592547, 'eval_deprel_accuracy': 0.31413612565445026, 'eval_deprel_precision_macro': 0.10606953018602618, 'eval_deprel_recall_macro': 0.07957130702428165, 'eval_deprel_f1_macro': 0.060603378111730576, 'eval_deprel_precision_micro': 0.31413612565445026, 'eval_deprel_recall_micro': 0.31413612565445026, 'eval_deprel_f1_micro': 0.31413612565445026, 'eval_pos_accuracy': 0.5520172466892516, 'eval_pos_precision_macro': 0.3360610744921144, 'eval_pos_recall_macro': 0.30288392927640373, 'eval_pos_f1_macro': 0.2832616828686859, 'eval_pos_precision_micro': 0.5520172466892516, 'eval_pos_recall_micro': 0.5520172466892516, 'eval_pos_f1_micro': 0.5520172466892516, 'eval_Case_accuracy': 0.9519556513704959, 'eval_Case_precision_macro': 0.6507193247281353, 'eval_Case_recall_macro': 0.3338043056538773, 'eval_Case_f1_macro': 0.32621944206972703, 'eval_Case_precision_micro': 0.9519556513704959, 'eval_Case_recall_micro': 0.9519556513704959, 'eval_Case_f1_micro': 0.9519556513704959, 'eval_Definite_accuracy': 0.9592546966430552, 'eval_Definite_precision_macro': 0.65276545400769, 'eval_Definite_recall_macro': 0.5302160169723852, 'eval_Definite_f1_macro': 0.5738090050016655, 'eval_Definite_precision_micro': 0.9592546966430552, 'eval_Definite_recall_micro': 0.9592546966430552, 'eval_Definite_f1_micro': 0.9592546966430552, 'eval_Degree_accuracy': 0.9233754234678164, 'eval_Degree_precision_macro': 0.23089363275113206, 'eval_Degree_recall_macro': 0.24996665110384847, 'eval_Degree_f1_macro': 0.24005188233598618, 'eval_Degree_precision_micro': 0.9233754234678164, 'eval_Degree_recall_micro': 0.9233754234678164, 'eval_Degree_f1_micro': 0.9233754234678164, 'eval_Foreign_accuracy': 0.9990452725592855, 'eval_Foreign_precision_macro': 0.49963034839663617, 'eval_Foreign_recall_macro': 0.4998921284595944, 'eval_Foreign_f1_macro': 0.49976120414734476, 'eval_Foreign_precision_micro': 0.9990452725592855, 'eval_Foreign_recall_micro': 0.9990452725592855, 'eval_Foreign_f1_micro': 0.9990452725592855, 'eval_Gender_accuracy': 0.9816137973514013, 'eval_Gender_precision_macro': 0.24545636570865292, 'eval_Gender_recall_macro': 0.24994510664993727, 'eval_Gender_f1_macro': 0.2476804003543509, 'eval_Gender_precision_micro': 0.9816137973514013, 'eval_Gender_recall_micro': 0.9816137973514013, 'eval_Gender_f1_micro': 0.9816137973514013, 'eval_Mood_accuracy': 0.9199876809362488, 'eval_Mood_precision_macro': 0.4279375286491957, 'eval_Mood_recall_macro': 0.33382044137322686, 'eval_Mood_f1_macro': 0.32056560960087205, 'eval_Mood_precision_micro': 0.9199876809362488, 'eval_Mood_recall_micro': 0.9199876809362488, 'eval_Mood_f1_micro': 0.9199876809362488, 'eval_NumType_accuracy': 0.9826609177702494, 'eval_NumType_precision_macro': 0.24571820226103563, 'eval_NumType_recall_macro': 0.24994516513129034, 'eval_NumType_f1_macro': 0.247813660158131, 'eval_NumType_precision_micro': 0.9826609177702494, 'eval_NumType_recall_micro': 0.9826609177702494, 'eval_NumType_f1_micro': 0.9826609177702494, 'eval_Number_accuracy': 0.785525100092393, 'eval_Number_precision_macro': 0.5001241663136943, 'eval_Number_recall_macro': 0.5252545809547717, 'eval_Number_f1_macro': 0.5119670612048098, 'eval_Number_precision_micro': 0.785525100092393, 'eval_Number_recall_micro': 0.785525100092393, 'eval_Number_f1_micro': 0.785525100092393, 'eval_Person_accuracy': 0.9086233446258084, 'eval_Person_precision_macro': 0.22720481779256385, 'eval_Person_recall_macro': 0.24994069806845137, 'eval_Person_f1_macro': 0.2380310780501186, 'eval_Person_precision_micro': 0.9086233446258084, 'eval_Person_recall_micro': 0.9086233446258084, 'eval_Person_f1_micro': 0.9086233446258084, 'eval_Polarity_accuracy': 0.993717277486911, 'eval_Polarity_precision_macro': 0.3313105176149257, 'eval_Polarity_recall_macro': 0.3332610334748345, 'eval_Polarity_f1_macro': 0.3322829131652661, 'eval_Polarity_precision_micro': 0.993717277486911, 'eval_Polarity_recall_micro': 0.993717277486911, 'eval_Polarity_f1_micro': 0.993717277486911, 'eval_PronType_accuracy': 0.8850015398829689, 'eval_PronType_precision_macro': 0.33913256786339513, 'eval_PronType_recall_macro': 0.22909293694986518, 'eval_PronType_f1_macro': 0.241420508051835, 'eval_PronType_precision_micro': 0.8850015398829689, 'eval_PronType_recall_micro': 0.8850015398829689, 'eval_PronType_f1_micro': 0.8850015398829689, 'eval_Poss_accuracy': 0.9857098860486603, 'eval_Poss_precision_macro': 0.49285494302433014, 'eval_Poss_recall_macro': 0.5, 'eval_Poss_f1_macro': 0.49640176189589924, 'eval_Poss_precision_micro': 0.9857098860486603, 'eval_Poss_recall_micro': 0.9857098860486603, 'eval_Poss_f1_micro': 0.9857098860486603, 'eval_Reflex_accuracy': 0.9989220819217739, 'eval_Reflex_precision_macro': 0.4995687397960755, 'eval_Reflex_recall_macro': 0.4998921151593613, 'eval_Reflex_f1_macro': 0.4997303751637008, 'eval_Reflex_precision_micro': 0.9989220819217739, 'eval_Reflex_recall_micro': 0.9989220819217739, 'eval_Reflex_f1_micro': 0.9989220819217739, 'eval_Tense_accuracy': 0.904896827841084, 'eval_Tense_precision_macro': 0.6349499804851996, 'eval_Tense_recall_macro': 0.3366113501331694, 'eval_Tense_f1_macro': 0.3231750317464975, 'eval_Tense_precision_micro': 0.904896827841084, 'eval_Tense_recall_micro': 0.904896827841084, 'eval_Tense_f1_micro': 0.904896827841084, 'eval_VerbForm_accuracy': 0.8587311364336311, 'eval_VerbForm_precision_macro': 0.3706041017094936, 'eval_VerbForm_recall_macro': 0.24373002742431563, 'eval_VerbForm_f1_macro': 0.25626716347530987, 'eval_VerbForm_precision_micro': 0.8587311364336311, 'eval_VerbForm_recall_micro': 0.8587311364336311, 'eval_VerbForm_f1_micro': 0.8587311364336311, 'eval_runtime': 255.7745, 'eval_samples_per_second': 9.356, 'eval_steps_per_second': 4.68, 'epoch': 0.91}
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+```

models/ud_ewt_gum_pud_20250611/added_tokens.json

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models/ud_ewt_gum_pud_20250611/config.json

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models/ud_ewt_gum_pud_20250611/spm.model

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