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sjrhuschlee
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deberta-v3-large-squad2

Question Answering
Transformers
PyTorch
TensorFlow
Safetensors
PEFT
English
deberta-v2
deberta
deberta-v3
squad
squad_v2
lora
Eval Results
Inference Endpoints
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sjrhuschlee commited on
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Update README.md

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  1. README.md +19 -19
README.md CHANGED
@@ -31,7 +31,7 @@ model-index:
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  value: 87.956
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  name: Exact Match
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  - type: f1
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- value: 90.776
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  name: F1
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  - task:
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  type: question-answering
@@ -43,10 +43,10 @@ model-index:
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  split: validation
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  metrics:
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  - type: exact_match
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- value: 89.29
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  name: Exact Match
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  - type: f1
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- value: 94.985
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  name: F1
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  - task:
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  type: question-answering
@@ -58,10 +58,10 @@ model-index:
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  split: validation
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  metrics:
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  - type: exact_match
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- value: 31.167
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  name: Exact Match
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  - type: f1
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- value: 41.787
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  name: F1
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  - task:
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  type: question-answering
@@ -73,70 +73,70 @@ model-index:
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  split: validation
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  metrics:
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  - type: exact_match
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- value: 75.993
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  name: Exact Match
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  - type: f1
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- value: 80.495
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  name: F1
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  - task:
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  type: question-answering
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  name: Question Answering
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  dataset:
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- name: squadshifts
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  type: squadshifts
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  config: amazon
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  split: test
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  metrics:
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  - type: exact_match
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- value: 66.272
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  name: Exact Match
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  - type: f1
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- value: 77.941
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  name: F1
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  - task:
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  type: question-answering
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  name: Question Answering
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  dataset:
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- name: squadshifts
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  type: squadshifts
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  config: new_wiki
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  split: test
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  metrics:
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  - type: exact_match
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- value: 81.456
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  name: Exact Match
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  - type: f1
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- value: 89.142
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  name: F1
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  - task:
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  type: question-answering
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  name: Question Answering
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  dataset:
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- name: squadshifts
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  type: squadshifts
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  config: nyt
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  split: test
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  metrics:
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  - type: exact_match
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- value: 81.739
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  name: Exact Match
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  - type: f1
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- value: 88.826
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  name: F1
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  - task:
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  type: question-answering
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  name: Question Answering
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  dataset:
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- name: squadshifts
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  type: squadshifts
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  config: reddit
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  split: test
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  metrics:
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  - type: exact_match
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- value: 61.4
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  name: Exact Match
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  - type: f1
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- value: 69.999
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  name: F1
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  ---
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  value: 87.956
32
  name: Exact Match
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  - type: f1
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+ value: 90.781
35
  name: F1
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  - task:
37
  type: question-answering
 
43
  split: validation
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  metrics:
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  - type: exact_match
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+ value: 89.290
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  name: Exact Match
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  - type: f1
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+ value: 95.008
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  name: F1
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  - task:
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  type: question-answering
 
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  split: validation
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  metrics:
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  - type: exact_match
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+ value: 41.400
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  name: Exact Match
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  - type: f1
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+ value: 55.676
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  name: F1
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  - task:
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  type: question-answering
 
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  split: validation
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  metrics:
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  - type: exact_match
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+ value: 83.660
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  name: Exact Match
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  - type: f1
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+ value: 89.451
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  name: F1
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  - task:
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  type: question-answering
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  name: Question Answering
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  dataset:
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+ name: squadshifts amazon
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  type: squadshifts
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  config: amazon
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  split: test
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  metrics:
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  - type: exact_match
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+ value: 74.487
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  name: Exact Match
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  - type: f1
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+ value: 87.745
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  name: F1
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  - task:
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  type: question-answering
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  name: Question Answering
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  dataset:
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+ name: squadshifts new_wiki
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  type: squadshifts
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  config: new_wiki
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  split: test
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  metrics:
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  - type: exact_match
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+ value: 84.782
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  name: Exact Match
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  - type: f1
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+ value: 93.114
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  name: F1
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  - task:
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  type: question-answering
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  name: Question Answering
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  dataset:
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+ name: squadshifts nyt
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  type: squadshifts
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  config: nyt
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  split: test
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  metrics:
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  - type: exact_match
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+ value: 85.643
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  name: Exact Match
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  - type: f1
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+ value: 93.258
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  name: F1
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  - task:
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  type: question-answering
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  name: Question Answering
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  dataset:
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+ name: squadshifts reddit
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  type: squadshifts
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  config: reddit
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  split: test
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  metrics:
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  - type: exact_match
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+ value: 74.702
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  name: Exact Match
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  - type: f1
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+ value: 85.861
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  name: F1
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  ---
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