Add evaluation results on masakhaner dataset
#1
by
autoevaluator
HF staff
- opened
README.md
CHANGED
@@ -1,6 +1,6 @@
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---
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language:
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-
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tags:
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- NER
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- token-classification
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@@ -11,7 +11,43 @@ metrics:
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- precision
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- recall
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widget:
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- text: "
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---
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---
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language:
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- am
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tags:
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- NER
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- token-classification
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- precision
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- recall
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widget:
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- text: "\u1240\u12F3\u121A\u12CD \u12E8\u1236\u121B\u120C \u12AD\u120D\u120D \u1260\
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\u12A0\u12C8\u12F3\u12ED \u12A8\u1270\u121B \u1208\u1270\u1308\u12F0\u1209 \u12E8\
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\u12AD\u120D\u1209 \u1270\u12C8\u120B\u1306\u127D \u12EB\u12A8\u1293\u12C8\u1290\
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\u12CD \u12E8\u1240\u1265\u122D \u1235\u1290 \u1235\u122D\u12D3\u1275\u1295 \u12E8\
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\u1270\u1218\u1208\u12A8\u1270 \u12D8\u1308\u1263 \u1290\u12CD \u1361\u1361"
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model-index:
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- name: mbeukman/xlm-roberta-base-finetuned-ner-amharic
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results:
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- task:
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type: token-classification
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name: Token Classification
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dataset:
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name: masakhaner
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type: masakhaner
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config: amh
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split: test
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.9112588436203952
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verified: true
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- name: Precision
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type: precision
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value: 0.9385994025887819
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verified: true
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- name: Recall
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type: recall
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value: 0.9238810846128717
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verified: true
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- name: F1
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type: f1
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value: 0.931182087586434
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verified: true
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- name: loss
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type: loss
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value: 0.6867610216140747
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verified: true
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---
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