Model save

README.md

@@ -7,7 +7,7 @@ license: gpl-3.0
 metrics:
 - accuracy
 - f1
-pipeline_tag: cobald-parsing
+pipeline_tag: conllu-parsing
 tags:
 - pytorch
 model-index:
@@ -21,28 +21,28 @@ model-index:
       split: validation
     metrics:
     - type: f1
-      value: 0.9317422253047845
+      value: 0.9310806467014647
       name: Null F1
     - type: f1
-      value: 0.7695098614277618
+      value: 0.8195252905607285
       name: Lemma F1
     - type: f1
-      value: 0.781281900172072
+      value: 0.7495766968629533
       name: Morphology F1
     - type: accuracy
-      value: 0.8564963132468854
+      value: 0.853072625698324
       name: Ud Jaccard
     - type: accuracy
-      value: 0.7957574701629062
+      value: 0.7939047785141262
       name: Eud Jaccard
     - type: f1
-      value: 0.6531188020942942
+      value: 0.6392410674422461
       name: Miscs F1
     - type: f1
-      value: 0.6252168498078852
+      value: 0.6143209500173906
       name: Deepslot F1
     - type: f1
-      value: 0.6178434326559865
+      value: 0.5880512346701139
       name: Semclass F1
 ---
 

config.json

@@ -8,12 +8,6 @@
     "AutoModel": "modeling_parser.CobaldParser"
   },
   "consecutive_null_limit": 3,
-  "custom_pipelines": {
-    "conllu-parsing": {
-      "impl": "pipeline.ConlluTokenClassificationPipeline",
-      "pt": "CobaldParser"
-    }
-  },
   "deepslot_classifier_hidden_size": 256,
   "dependency_classifier_hidden_size": 128,
   "dropout": 0.1,

configuration.py

@@ -37,12 +37,4 @@ class CobaldParserConfig(PretrainedConfig):
             column: {int(k): v for k, v in labels.items()}
             for column, labels in vocabulary.items()
         }
-        # HACK: Tell HF hub about custom pipeline.
-        # It should not be hardcoded like this but other workaround are worse imo.
-        self.custom_pipelines = {
-            "conllu-parsing": {
-                "impl": "pipeline.ConlluTokenClassificationPipeline",
-                "pt": "CobaldParser",
-            }
-        }
         super().__init__(**kwargs)

model.safetensors

@@ -1,3 +1,3 @@
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 size 1141310696

runs/May27_12-51-58_dragon/events.out.tfevents.1748339628.dragon.3755.0

@@ -0,0 +1,3 @@
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+size 77100

training_args.bin

@@ -1,3 +1,3 @@
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