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sjrhuschlee
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flan-t5-large-squad2

Question Answering
Transformers
PyTorch
Safetensors
PEFT
English
t5
squad
squad_v2
lora
custom_code
Eval Results
Inference Endpoints
text-generation-inference
Model card Files Community
2
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Update README.md

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  1. README.md +19 -19
README.md CHANGED
@@ -27,10 +27,10 @@ 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: 86.785
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  name: Exact Match
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  - type: f1
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- value: 89.537
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  name: F1
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  - task:
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  type: question-answering
@@ -42,10 +42,10 @@ 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: 85.998
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  name: Exact Match
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  - type: f1
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- value: 91.296
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  name: F1
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  - task:
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  type: question-answering
@@ -57,10 +57,10 @@ 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: 35.767
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  name: Exact Match
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  - type: f1
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- value: 45.565
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  name: F1
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  - task:
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  type: question-answering
@@ -72,10 +72,10 @@ 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: 75.322
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  name: Exact Match
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  - type: f1
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- value: 79.327
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  name: F1
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  - task:
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  type: question-answering
@@ -87,55 +87,55 @@ model-index:
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  split: test
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  metrics:
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  - type: exact_match
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- value: 74.153
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  name: Exact Match
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  - type: f1
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- value: 86.567
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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: 81.053
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  name: Exact Match
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  - type: f1
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- value: 89.043
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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: 83.815
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  name: Exact Match
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  - type: f1
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- value: 90.416
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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: 73.212
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  name: Exact Match
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  - type: f1
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- value: 83.214
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  name: F1
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  ---
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  split: validation
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  metrics:
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  - type: exact_match
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+ value: 86.819
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  name: Exact Match
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  - type: f1
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+ value: 89.569
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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: 89.357
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  name: Exact Match
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  - type: f1
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+ value: 95.060
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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: 48.833
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  name: Exact Match
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  - type: f1
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+ value: 62.555
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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: 84.835
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  name: Exact Match
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  - type: f1
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+ value: 90.245
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  name: F1
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  - task:
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  type: question-answering
 
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  split: test
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  metrics:
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  - type: exact_match
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+ value: 76.722
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  name: Exact Match
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  - type: f1
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+ value: 89.680
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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: 84.316
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  name: Exact Match
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  - type: f1
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+ value: 92.967
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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:
114
+ 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: 86.925
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  name: Exact Match
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  - type: f1
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+ value: 94.064
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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: 78.241
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  name: Exact Match
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  - type: f1
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+ value: 89.243
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  name: F1
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  ---
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