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AntoineBourgois
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propp-fr_coreference-resolution_camembert-large_PER

French
coreference-resolution
anaphora-resolution
mentions-linking
literary-texts
camembert
nested-entities
BookNLP-fr
Model card Files
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  1. JCLS_model_card.md +1 -1
  2. README.md +1 -1
JCLS_model_card.md CHANGED
@@ -46,7 +46,7 @@ Coreference Resolution Performances on the fully annotated sample for each docum
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  ## TRAINING PARAMETERS:
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  - Entities types: PER
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  - Split strategy: Leave-one-out cross-validation (29 files)
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- - Train/Validation split: 0.85 / 0.15000000000000002
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  - Batch size: 16,000
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  - Initial learning rate: 0.0004
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  - Focal loss gamma: 1
 
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  ## TRAINING PARAMETERS:
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  - Entities types: PER
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  - Split strategy: Leave-one-out cross-validation (29 files)
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+ - Train/Validation split: 0.85 / 0.15
50
  - Batch size: 16,000
51
  - Initial learning rate: 0.0004
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  - Focal loss gamma: 1
README.md CHANGED
@@ -72,7 +72,7 @@ Coreference Resolution Performances on the fully annotated sample for each docum
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  ## TRAINING PARAMETERS:
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  - Entities types: PER
74
  - Split strategy: Leave-one-out cross-validation (29 files)
75
- - Train/Validation split: 0.85 / 0.15000000000000002
76
  - Batch size: 16,000
77
  - Initial learning rate: 0.0004
78
  - Focal loss gamma: 1
 
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  ## TRAINING PARAMETERS:
73
  - Entities types: PER
74
  - Split strategy: Leave-one-out cross-validation (29 files)
75
+ - Train/Validation split: 0.85 / 0.15
76
  - Batch size: 16,000
77
  - Initial learning rate: 0.0004
78
  - Focal loss gamma: 1