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deberta-v3-base-squad2-ext-v1

Question Answering
Transformers
PyTorch
Safetensors
10 datasets
English
deberta-v2
deberta
deberta-v3
squad
squad_v2
mrqa
synQA
adversarial_qa
Eval Results
Inference Endpoints
Model card Files Community
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README.md CHANGED
@@ -3,6 +3,9 @@ license: mit
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  datasets:
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  - squad_v2
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  - squad
 
 
 
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  language:
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  - en
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  library_name: transformers
@@ -55,12 +58,12 @@ model-index:
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  config: adversarialQA
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  split: validation
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  metrics:
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- - type: exact_match
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- value: 44.867
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- name: Exact Match
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- - type: f1
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- value: 55.996
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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
@@ -71,7 +74,7 @@ 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: 80.190
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  name: Exact Match
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  - type: f1
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  value: 85.028
@@ -85,12 +88,12 @@ model-index:
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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: 69.712
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- name: Exact Match
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- - type: f1
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- value: 81.171
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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
@@ -100,12 +103,12 @@ model-index:
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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: 81.544
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- name: Exact Match
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- - type: f1
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- value: 89.782
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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
@@ -115,12 +118,12 @@ model-index:
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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: 80.05
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- name: Exact Match
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- - type: f1
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- value: 87.756
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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
@@ -130,12 +133,12 @@ model-index:
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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: 60.481
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- name: Exact Match
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- - type: f1
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- value: 68.686
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- name: F1
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  ---
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  # deberta-v3-base for Extractive QA
 
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  datasets:
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  - squad_v2
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  - squad
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+ - mrqa
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+ - mbartolo/synQA
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+ - adversarial_qa
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  language:
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  - en
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  library_name: transformers
 
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  config: adversarialQA
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  split: validation
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  metrics:
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+ - type: exact_match
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+ value: 44.867
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+ name: Exact Match
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+ - type: f1
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+ value: 55.996
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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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  split: validation
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  metrics:
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  - type: exact_match
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+ value: 80.19
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  name: Exact Match
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  - type: f1
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  value: 85.028
 
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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: 69.712
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+ name: Exact Match
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+ - type: f1
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+ value: 81.171
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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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  config: new_wiki
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  split: test
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  metrics:
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+ - type: exact_match
107
+ value: 81.544
108
+ name: Exact Match
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+ - type: f1
110
+ value: 89.782
111
+ 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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  config: nyt
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  split: test
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  metrics:
121
+ - type: exact_match
122
+ value: 80.05
123
+ name: Exact Match
124
+ - type: f1
125
+ value: 87.756
126
+ 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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  config: reddit
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  split: test
135
  metrics:
136
+ - type: exact_match
137
+ value: 60.481
138
+ name: Exact Match
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+ - type: f1
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+ value: 68.686
141
+ name: F1
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  ---
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  # deberta-v3-base for Extractive QA