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README.md
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A: Let's think step by step.
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example_title: Mathematical reasoning
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group: English
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-
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- name: bloom
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results:
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-
- task:
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type: text-generation
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name: text generation
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dataset:
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name: arc_challenge
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type: arc_challenge
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metrics:
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-
- name: acc
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type: acc
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-
value: 0.4112627986348123
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verified: false
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-
- task:
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type: text-generation
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name: text generation
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dataset:
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name: arc_easy
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type: arc_easy
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metrics:
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-
- name: acc
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type: acc
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-
value: 0.726010101010101
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verified: false
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-
- task:
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-
type: text-generation
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name: text generation
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-
dataset:
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name: axb
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type: axb
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metrics:
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-
- name: acc
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-
type: acc
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-
value: 0.5751811594202898
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-
verified: false
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-
- task:
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-
type: text-generation
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-
name: text generation
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-
dataset:
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name: axg
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type: axg
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-
metrics:
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-
- name: acc
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-
type: acc
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-
value: 0.5252808988764045
|
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verified: false
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-
- task:
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-
type: text-generation
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-
name: text generation
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-
dataset:
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name: boolq
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type: boolq
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-
metrics:
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-
- name: acc
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-
type: acc
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-
value: 0.6345565749235474
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verified: false
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-
- task:
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-
type: text-generation
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-
name: text generation
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-
dataset:
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name: cb
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type: cb
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-
metrics:
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-
- name: acc
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type: acc
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-
value: 0.3392857142857143
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verified: false
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-
- task:
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-
type: text-generation
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-
name: text generation
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-
dataset:
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name: cola
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type: cola
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-
metrics:
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-
- name: acc
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type: acc
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-
value: 0.39022051773729627
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verified: false
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-
- task:
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-
type: text-generation
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-
name: text generation
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dataset:
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name: copa
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type: copa
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metrics:
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-
- name: acc
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type: acc
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-
value: 0.56
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verified: false
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-
- task:
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type: text-generation
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name: text generation
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-
dataset:
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name: crows_pairs_english
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type: crows_pairs_english
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metrics:
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-
- name: acc
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type: acc
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-
value: 0.5
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verified: false
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-
- task:
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-
type: text-generation
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-
name: text generation
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-
dataset:
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name: crows_pairs_french
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type: crows_pairs_french
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-
metrics:
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-
- name: acc
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-
type: acc
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-
value: 0.505664877757901
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verified: false
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-
- task:
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-
type: text-generation
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name: text generation
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dataset:
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name: diabla
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type: diabla
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metrics:
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-
- name: acc
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-
type: acc
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-
value: 0.2947981906750174
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verified: false
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-
- task:
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-
type: text-generation
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-
name: text generation
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-
dataset:
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-
name: gsarti/flores_101_afr
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type: gsarti/flores_101_afr
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-
metrics:
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-
- name: byte_perplexity
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-
type: byte_perplexity
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-
value: 4.25431550058444
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-
verified: false
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-
- task:
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-
type: text-generation
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-
name: text generation
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-
dataset:
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name: gsarti/flores_101_amh
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type: gsarti/flores_101_amh
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-
metrics:
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-
- name: byte_perplexity
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-
type: byte_perplexity
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-
value: 3.716877477347089
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-
verified: false
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-
- task:
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-
type: text-generation
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-
name: text generation
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-
dataset:
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name: gsarti/flores_101_ara
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type: gsarti/flores_101_ara
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-
metrics:
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-
- name: byte_perplexity
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-
type: byte_perplexity
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-
value: 1.7049030137120964
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-
verified: false
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-
- task:
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-
type: text-generation
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-
name: text generation
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-
dataset:
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-
name: gsarti/flores_101_asm
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type: gsarti/flores_101_asm
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metrics:
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-
- name: byte_perplexity
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-
type: byte_perplexity
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-
value: 6.576581380404954
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-
verified: false
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-
- task:
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-
type: text-generation
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-
name: text generation
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-
dataset:
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name: gsarti/flores_101_ast
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type: gsarti/flores_101_ast
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-
metrics:
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-
- name: byte_perplexity
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-
type: byte_perplexity
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-
value: 2.8562364775797944
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-
verified: false
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-
- task:
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-
type: text-generation
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-
name: text generation
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-
dataset:
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-
name: gsarti/flores_101_azj
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type: gsarti/flores_101_azj
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-
metrics:
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-
- name: byte_perplexity
|
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-
type: byte_perplexity
|
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-
value: 4.80721528624391
|
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-
verified: false
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-
- task:
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-
type: text-generation
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-
name: text generation
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-
dataset:
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-
name: gsarti/flores_101_bel
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type: gsarti/flores_101_bel
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-
metrics:
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-
- name: byte_perplexity
|
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-
type: byte_perplexity
|
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-
value: 2.7312177406635065
|
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-
verified: false
|
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-
- task:
|
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-
type: text-generation
|
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-
name: text generation
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-
dataset:
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-
name: gsarti/flores_101_ben
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type: gsarti/flores_101_ben
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-
metrics:
|
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-
- name: byte_perplexity
|
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-
type: byte_perplexity
|
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-
value: 5.993409478990023
|
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-
verified: false
|
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-
- task:
|
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-
type: text-generation
|
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-
name: text generation
|
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-
dataset:
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-
name: gsarti/flores_101_bos
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type: gsarti/flores_101_bos
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-
metrics:
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-
- name: byte_perplexity
|
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-
type: byte_perplexity
|
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-
value: 3.5936169095529493
|
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-
verified: false
|
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-
- task:
|
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-
type: text-generation
|
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-
name: text generation
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-
dataset:
|
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-
name: gsarti/flores_101_bul
|
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-
type: gsarti/flores_101_bul
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-
metrics:
|
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-
- name: byte_perplexity
|
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-
type: byte_perplexity
|
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-
value: 2.159035321398085
|
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-
verified: false
|
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-
- task:
|
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-
type: text-generation
|
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-
name: text generation
|
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-
dataset:
|
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-
name: gsarti/flores_101_cat
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-
type: gsarti/flores_101_cat
|
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-
metrics:
|
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-
- name: byte_perplexity
|
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-
type: byte_perplexity
|
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-
value: 2.167873680006659
|
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-
verified: false
|
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-
- task:
|
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-
type: text-generation
|
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-
name: text generation
|
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-
dataset:
|
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-
name: gsarti/flores_101_ceb
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-
type: gsarti/flores_101_ceb
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-
metrics:
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-
- name: byte_perplexity
|
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-
type: byte_perplexity
|
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-
value: 5.286975089885673
|
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-
verified: false
|
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-
- task:
|
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-
type: text-generation
|
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-
name: text generation
|
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-
dataset:
|
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-
name: gsarti/flores_101_ces
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type: gsarti/flores_101_ces
|
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-
metrics:
|
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-
- name: byte_perplexity
|
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-
type: byte_perplexity
|
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-
value: 3.4516208322236017
|
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-
verified: false
|
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-
- task:
|
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-
type: text-generation
|
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-
name: text generation
|
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-
dataset:
|
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-
name: gsarti/flores_101_ckb
|
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-
type: gsarti/flores_101_ckb
|
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-
metrics:
|
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-
- name: byte_perplexity
|
447 |
-
type: byte_perplexity
|
448 |
-
value: 3.7051034724765612
|
449 |
-
verified: false
|
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-
- task:
|
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-
type: text-generation
|
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-
name: text generation
|
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-
dataset:
|
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-
name: gsarti/flores_101_cym
|
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-
type: gsarti/flores_101_cym
|
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-
metrics:
|
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-
- name: byte_perplexity
|
458 |
-
type: byte_perplexity
|
459 |
-
value: 7.0889312398688125
|
460 |
-
verified: false
|
461 |
-
- task:
|
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-
type: text-generation
|
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-
name: text generation
|
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-
dataset:
|
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-
name: gsarti/flores_101_dan
|
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-
type: gsarti/flores_101_dan
|
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-
metrics:
|
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-
- name: byte_perplexity
|
469 |
-
type: byte_perplexity
|
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-
value: 3.4300748208111838
|
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-
verified: false
|
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-
- task:
|
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-
type: text-generation
|
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-
name: text generation
|
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-
dataset:
|
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-
name: gsarti/flores_101_deu
|
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-
type: gsarti/flores_101_deu
|
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-
metrics:
|
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-
- name: byte_perplexity
|
480 |
-
type: byte_perplexity
|
481 |
-
value: 2.3380585896268107
|
482 |
-
verified: false
|
483 |
-
- task:
|
484 |
-
type: text-generation
|
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-
name: text generation
|
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-
dataset:
|
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-
name: gsarti/flores_101_ell
|
488 |
-
type: gsarti/flores_101_ell
|
489 |
-
metrics:
|
490 |
-
- name: byte_perplexity
|
491 |
-
type: byte_perplexity
|
492 |
-
value: 1.9595604725375586
|
493 |
-
verified: false
|
494 |
-
- task:
|
495 |
-
type: text-generation
|
496 |
-
name: text generation
|
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-
dataset:
|
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-
name: gsarti/flores_101_eng
|
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-
type: gsarti/flores_101_eng
|
500 |
-
metrics:
|
501 |
-
- name: byte_perplexity
|
502 |
-
type: byte_perplexity
|
503 |
-
value: 1.8819637649637901
|
504 |
-
verified: false
|
505 |
-
- task:
|
506 |
-
type: text-generation
|
507 |
-
name: text generation
|
508 |
-
dataset:
|
509 |
-
name: gsarti/flores_101_est
|
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-
type: gsarti/flores_101_est
|
511 |
-
metrics:
|
512 |
-
- name: byte_perplexity
|
513 |
-
type: byte_perplexity
|
514 |
-
value: 5.773850600380297
|
515 |
-
verified: false
|
516 |
-
- task:
|
517 |
-
type: text-generation
|
518 |
-
name: text generation
|
519 |
-
dataset:
|
520 |
-
name: gsarti/flores_101_fas
|
521 |
-
type: gsarti/flores_101_fas
|
522 |
-
metrics:
|
523 |
-
- name: byte_perplexity
|
524 |
-
type: byte_perplexity
|
525 |
-
value: 2.4306140728294086
|
526 |
-
verified: false
|
527 |
-
- task:
|
528 |
-
type: text-generation
|
529 |
-
name: text generation
|
530 |
-
dataset:
|
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-
name: gsarti/flores_101_fin
|
532 |
-
type: gsarti/flores_101_fin
|
533 |
-
metrics:
|
534 |
-
- name: byte_perplexity
|
535 |
-
type: byte_perplexity
|
536 |
-
value: 4.304305536244342
|
537 |
-
verified: false
|
538 |
-
- task:
|
539 |
-
type: text-generation
|
540 |
-
name: text generation
|
541 |
-
dataset:
|
542 |
-
name: gsarti/flores_101_fra
|
543 |
-
type: gsarti/flores_101_fra
|
544 |
-
metrics:
|
545 |
-
- name: byte_perplexity
|
546 |
-
type: byte_perplexity
|
547 |
-
value: 1.9374688438541796
|
548 |
-
verified: false
|
549 |
-
- task:
|
550 |
-
type: text-generation
|
551 |
-
name: text generation
|
552 |
-
dataset:
|
553 |
-
name: gsarti/flores_101_ful
|
554 |
-
type: gsarti/flores_101_ful
|
555 |
-
metrics:
|
556 |
-
- name: byte_perplexity
|
557 |
-
type: byte_perplexity
|
558 |
-
value: 9.740353097219378
|
559 |
-
verified: false
|
560 |
-
- task:
|
561 |
-
type: text-generation
|
562 |
-
name: text generation
|
563 |
-
dataset:
|
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-
name: gsarti/flores_101_gle
|
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-
type: gsarti/flores_101_gle
|
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-
metrics:
|
567 |
-
- name: byte_perplexity
|
568 |
-
type: byte_perplexity
|
569 |
-
value: 6.035269765075012
|
570 |
-
verified: false
|
571 |
-
- task:
|
572 |
-
type: text-generation
|
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-
name: text generation
|
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-
dataset:
|
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-
name: gsarti/flores_101_glg
|
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-
type: gsarti/flores_101_glg
|
577 |
-
metrics:
|
578 |
-
- name: byte_perplexity
|
579 |
-
type: byte_perplexity
|
580 |
-
value: 2.365451129546636
|
581 |
-
verified: false
|
582 |
-
- task:
|
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-
type: text-generation
|
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-
name: text generation
|
585 |
-
dataset:
|
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-
name: gsarti/flores_101_guj
|
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-
type: gsarti/flores_101_guj
|
588 |
-
metrics:
|
589 |
-
- name: byte_perplexity
|
590 |
-
type: byte_perplexity
|
591 |
-
value: 5.70676742569154
|
592 |
-
verified: false
|
593 |
-
- task:
|
594 |
-
type: text-generation
|
595 |
-
name: text generation
|
596 |
-
dataset:
|
597 |
-
name: gsarti/flores_101_hau
|
598 |
-
type: gsarti/flores_101_hau
|
599 |
-
metrics:
|
600 |
-
- name: byte_perplexity
|
601 |
-
type: byte_perplexity
|
602 |
-
value: 8.855204288260023
|
603 |
-
verified: false
|
604 |
-
- task:
|
605 |
-
type: text-generation
|
606 |
-
name: text generation
|
607 |
-
dataset:
|
608 |
-
name: gsarti/flores_101_heb
|
609 |
-
type: gsarti/flores_101_heb
|
610 |
-
metrics:
|
611 |
-
- name: byte_perplexity
|
612 |
-
type: byte_perplexity
|
613 |
-
value: 2.920943798471208
|
614 |
-
verified: false
|
615 |
-
- task:
|
616 |
-
type: text-generation
|
617 |
-
name: text generation
|
618 |
-
dataset:
|
619 |
-
name: gsarti/flores_101_hin
|
620 |
-
type: gsarti/flores_101_hin
|
621 |
-
metrics:
|
622 |
-
- name: byte_perplexity
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dataset:
|
1477 |
-
name: lambada_mt_it
|
1478 |
-
type: lambada_mt_it
|
1479 |
-
metrics:
|
1480 |
-
- name: acc
|
1481 |
-
type: acc
|
1482 |
-
value: 0.4061711624296526
|
1483 |
-
verified: false
|
1484 |
-
- task:
|
1485 |
-
type: text-generation
|
1486 |
-
name: text generation
|
1487 |
-
dataset:
|
1488 |
-
name: logiqa
|
1489 |
-
type: logiqa
|
1490 |
-
metrics:
|
1491 |
-
- name: acc
|
1492 |
-
type: acc
|
1493 |
-
value: 0.2350230414746544
|
1494 |
-
verified: false
|
1495 |
-
- task:
|
1496 |
-
type: text-generation
|
1497 |
-
name: text generation
|
1498 |
-
dataset:
|
1499 |
-
name: mathqa
|
1500 |
-
type: mathqa
|
1501 |
-
metrics:
|
1502 |
-
- name: acc
|
1503 |
-
type: acc
|
1504 |
-
value: 0.27671691792294806
|
1505 |
-
verified: false
|
1506 |
-
- task:
|
1507 |
-
type: text-generation
|
1508 |
-
name: text generation
|
1509 |
-
dataset:
|
1510 |
-
name: mc_taco
|
1511 |
-
type: mc_taco
|
1512 |
-
metrics:
|
1513 |
-
- name: em
|
1514 |
-
type: em
|
1515 |
-
value: 0.13063063063063063
|
1516 |
-
verified: false
|
1517 |
-
- task:
|
1518 |
-
type: text-generation
|
1519 |
-
name: text generation
|
1520 |
-
dataset:
|
1521 |
-
name: mnli
|
1522 |
-
type: mnli
|
1523 |
-
metrics:
|
1524 |
-
- name: acc
|
1525 |
-
type: acc
|
1526 |
-
value: 0.3545565500406835
|
1527 |
-
verified: false
|
1528 |
-
- task:
|
1529 |
-
type: text-generation
|
1530 |
-
name: text generation
|
1531 |
-
dataset:
|
1532 |
-
name: mnli_mismatched
|
1533 |
-
type: mnli_mismatched
|
1534 |
-
metrics:
|
1535 |
-
- name: acc
|
1536 |
-
type: acc
|
1537 |
-
value: 0.3545565500406835
|
1538 |
-
verified: false
|
1539 |
-
- task:
|
1540 |
-
type: text-generation
|
1541 |
-
name: text generation
|
1542 |
-
dataset:
|
1543 |
-
name: mrpc
|
1544 |
-
type: mrpc
|
1545 |
-
metrics:
|
1546 |
-
- name: acc
|
1547 |
-
type: acc
|
1548 |
-
value: 0.3872549019607843
|
1549 |
-
verified: false
|
1550 |
-
- task:
|
1551 |
-
type: text-generation
|
1552 |
-
name: text generation
|
1553 |
-
dataset:
|
1554 |
-
name: multirc
|
1555 |
-
type: multirc
|
1556 |
-
metrics:
|
1557 |
-
- name: acc
|
1558 |
-
type: acc
|
1559 |
-
value: 0.570957095709571
|
1560 |
-
verified: false
|
1561 |
-
- task:
|
1562 |
-
type: text-generation
|
1563 |
-
name: text generation
|
1564 |
-
dataset:
|
1565 |
-
name: openbookqa
|
1566 |
-
type: openbookqa
|
1567 |
-
metrics:
|
1568 |
-
- name: acc
|
1569 |
-
type: acc
|
1570 |
-
value: 0.312
|
1571 |
-
verified: false
|
1572 |
-
- task:
|
1573 |
-
type: text-generation
|
1574 |
-
name: text generation
|
1575 |
-
dataset:
|
1576 |
-
name: piqa
|
1577 |
-
type: piqa
|
1578 |
-
metrics:
|
1579 |
-
- name: acc
|
1580 |
-
type: acc
|
1581 |
-
value: 0.7812840043525572
|
1582 |
-
verified: false
|
1583 |
-
- task:
|
1584 |
-
type: text-generation
|
1585 |
-
name: text generation
|
1586 |
-
dataset:
|
1587 |
-
name: prost
|
1588 |
-
type: prost
|
1589 |
-
metrics:
|
1590 |
-
- name: acc
|
1591 |
-
type: acc
|
1592 |
-
value: 0.2977156276686593
|
1593 |
-
verified: false
|
1594 |
-
- task:
|
1595 |
-
type: text-generation
|
1596 |
-
name: text generation
|
1597 |
-
dataset:
|
1598 |
-
name: pubmedqa
|
1599 |
-
type: pubmedqa
|
1600 |
-
metrics:
|
1601 |
-
- name: acc
|
1602 |
-
type: acc
|
1603 |
-
value: 0.741
|
1604 |
-
verified: false
|
1605 |
-
- task:
|
1606 |
-
type: text-generation
|
1607 |
-
name: text generation
|
1608 |
-
dataset:
|
1609 |
-
name: qnli
|
1610 |
-
type: qnli
|
1611 |
-
metrics:
|
1612 |
-
- name: acc
|
1613 |
-
type: acc
|
1614 |
-
value: 0.5172981878088962
|
1615 |
-
verified: false
|
1616 |
-
- task:
|
1617 |
-
type: text-generation
|
1618 |
-
name: text generation
|
1619 |
-
dataset:
|
1620 |
-
name: qqp
|
1621 |
-
type: qqp
|
1622 |
-
metrics:
|
1623 |
-
- name: acc
|
1624 |
-
type: acc
|
1625 |
-
value: 0.5883007667573584
|
1626 |
-
verified: false
|
1627 |
-
- task:
|
1628 |
-
type: text-generation
|
1629 |
-
name: text generation
|
1630 |
-
dataset:
|
1631 |
-
name: race
|
1632 |
-
type: race
|
1633 |
-
metrics:
|
1634 |
-
- name: acc
|
1635 |
-
type: acc
|
1636 |
-
value: 0.39043062200956935
|
1637 |
-
verified: false
|
1638 |
-
- task:
|
1639 |
-
type: text-generation
|
1640 |
-
name: text generation
|
1641 |
-
dataset:
|
1642 |
-
name: rte
|
1643 |
-
type: rte
|
1644 |
-
metrics:
|
1645 |
-
- name: acc
|
1646 |
-
type: acc
|
1647 |
-
value: 0.5198555956678701
|
1648 |
-
verified: false
|
1649 |
-
- task:
|
1650 |
-
type: text-generation
|
1651 |
-
name: text generation
|
1652 |
-
dataset:
|
1653 |
-
name: sciq
|
1654 |
-
type: sciq
|
1655 |
-
metrics:
|
1656 |
-
- name: acc
|
1657 |
-
type: acc
|
1658 |
-
value: 0.936
|
1659 |
-
verified: false
|
1660 |
-
- task:
|
1661 |
-
type: text-generation
|
1662 |
-
name: text generation
|
1663 |
-
dataset:
|
1664 |
-
name: sst
|
1665 |
-
type: sst
|
1666 |
-
metrics:
|
1667 |
-
- name: acc
|
1668 |
-
type: acc
|
1669 |
-
value: 0.6043577981651376
|
1670 |
-
verified: false
|
1671 |
-
- task:
|
1672 |
-
type: text-generation
|
1673 |
-
name: text generation
|
1674 |
-
dataset:
|
1675 |
-
name: triviaqa
|
1676 |
-
type: triviaqa
|
1677 |
-
metrics:
|
1678 |
-
- name: acc
|
1679 |
-
type: acc
|
1680 |
-
value: 0.18332891363917617
|
1681 |
-
verified: false
|
1682 |
-
- task:
|
1683 |
-
type: text-generation
|
1684 |
-
name: text generation
|
1685 |
-
dataset:
|
1686 |
-
name: tydiqa_primary
|
1687 |
-
type: tydiqa_primary
|
1688 |
-
metrics:
|
1689 |
-
- name: acc
|
1690 |
-
type: acc
|
1691 |
-
value: 0.2809817301342725
|
1692 |
-
verified: false
|
1693 |
-
- task:
|
1694 |
-
type: text-generation
|
1695 |
-
name: text generation
|
1696 |
-
dataset:
|
1697 |
-
name: webqs
|
1698 |
-
type: webqs
|
1699 |
-
metrics:
|
1700 |
-
- name: acc
|
1701 |
-
type: acc
|
1702 |
-
value: 0.061515748031496065
|
1703 |
-
verified: false
|
1704 |
-
- task:
|
1705 |
-
type: text-generation
|
1706 |
-
name: text generation
|
1707 |
-
dataset:
|
1708 |
-
name: wic
|
1709 |
-
type: wic
|
1710 |
-
metrics:
|
1711 |
-
- name: acc
|
1712 |
-
type: acc
|
1713 |
-
value: 0.5062695924764891
|
1714 |
-
verified: false
|
1715 |
-
- task:
|
1716 |
-
type: text-generation
|
1717 |
-
name: text generation
|
1718 |
-
dataset:
|
1719 |
-
name: winogrande
|
1720 |
-
type: winogrande
|
1721 |
-
metrics:
|
1722 |
-
- name: acc
|
1723 |
-
type: acc
|
1724 |
-
value: 0.7095501183898973
|
1725 |
-
verified: false
|
1726 |
-
- task:
|
1727 |
-
type: text-generation
|
1728 |
-
name: text generation
|
1729 |
-
dataset:
|
1730 |
-
name: wnli
|
1731 |
-
type: wnli
|
1732 |
-
metrics:
|
1733 |
-
- name: acc
|
1734 |
-
type: acc
|
1735 |
-
value: 0.5704225352112676
|
1736 |
-
verified: false
|
1737 |
-
- task:
|
1738 |
-
type: text-generation
|
1739 |
-
name: text generation
|
1740 |
-
dataset:
|
1741 |
-
name: wsc
|
1742 |
-
type: wsc
|
1743 |
-
metrics:
|
1744 |
-
- name: acc
|
1745 |
-
type: acc
|
1746 |
-
value: 0.5192307692307693
|
1747 |
-
verified: false
|
1748 |
-
- task:
|
1749 |
-
type: text-generation
|
1750 |
-
name: text generation
|
1751 |
-
dataset:
|
1752 |
-
name: humaneval
|
1753 |
-
type: humaneval
|
1754 |
-
metrics:
|
1755 |
-
- name: pass@1
|
1756 |
-
type: pass@1
|
1757 |
-
value: 0.15524390243902436
|
1758 |
-
verified: false
|
1759 |
-
- name: pass@10
|
1760 |
-
type: pass@10
|
1761 |
-
value: 0.3220367632383857
|
1762 |
-
verified: false
|
1763 |
-
- name: pass@100
|
1764 |
-
type: pass@100
|
1765 |
-
value: 0.5545431515723145
|
1766 |
-
verified: false
|
1767 |
---
|
1768 |
|
1769 |
<img src="https://s3.amazonaws.com/moonup/production/uploads/1657124309515-5f17f0a0925b9863e28ad517.png" alt="BigScience Logo" width="800" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
|
@@ -2152,208 +558,8 @@ Model may:
|
|
2152 |
---
|
2153 |
|
2154 |
# Evaluation
|
2155 |
-
*This section describes the evaluation protocols and provides the results.*
|
2156 |
-
|
2157 |
-
|
2158 |
-
<details>
|
2159 |
-
<summary>Click to expand</summary>
|
2160 |
|
2161 |
-
|
2162 |
-
*This section describes the different ways performance is calculated and why.*
|
2163 |
-
|
2164 |
-
|
2165 |
-
Includes:
|
2166 |
-
|
2167 |
-
| Metric | Why chosen |
|
2168 |
-
|--------------------|--------------------------------------------------------------------|
|
2169 |
-
| [Perplexity](#perplexity) | Standard metric for quantifying model improvements during training |
|
2170 |
-
| Cross Entropy [Loss](#loss) | Standard objective for language models. |
|
2171 |
-
|
2172 |
-
And multiple different metrics for specific tasks. _(More evaluation metrics forthcoming upon completion of evaluation protocol.)_
|
2173 |
-
|
2174 |
-
## Factors
|
2175 |
-
*This section lists some different aspects of BLOOM models. Its focus is on aspects that are likely to give rise to high variance in model behavior.*
|
2176 |
-
|
2177 |
-
- Language, such as English or Yoruba
|
2178 |
-
|
2179 |
-
- Domain, such as newswire or stories
|
2180 |
-
|
2181 |
-
- Demographic characteristics, such as gender or nationality
|
2182 |
-
|
2183 |
-
## Results
|
2184 |
-
*Results are based on the [Factors](#factors) and [Metrics](#metrics).*
|
2185 |
-
|
2186 |
-
**Zero-shot evaluations:**
|
2187 |
-
|
2188 |
-
# <span style="color:red"><b>WARNING:</b> These are <b>intermediate results</b></span>
|
2189 |
-
|
2190 |
-
See this repository for JSON files: https://github.com/bigscience-workshop/evaluation-results
|
2191 |
-
|
2192 |
-
| Task | Language | Metric | BLOOM-176B | OPT-175B* |
|
2193 |
-
|:--------|:-----------------|:------------------------|-------------:|------------:|
|
2194 |
-
| arc_challenge | eng | acc ↑ | 0.411 | 0.412 |
|
2195 |
-
| arc_easy | eng | acc ↑ | 0.726 | 0.751 |
|
2196 |
-
| axb (Median of 10 prompts) | eng | acc ↑ | 0.575 | 0.532 |
|
2197 |
-
| axg (Median of 10 prompts) | eng | acc ↑ | 0.525 | 0.548 |
|
2198 |
-
| boolq (Median of 11 prompts) | eng | acc ↑ | 0.635 | 0.622 |
|
2199 |
-
| cb (Median of 15 prompts) | eng | acc ↑ | 0.339 | 0.411 |
|
2200 |
-
| cola (Median of 5 prompts) | eng | acc ↑ | 0.39 | 0.444 |
|
2201 |
-
| copa (Median of 9 prompts) | eng | acc ↑ | 0.56 | 0.55 |
|
2202 |
-
| crows_pairs_english (Median of 6 prompts) | eng | acc ↑ | 0.5 | 0.502 |
|
2203 |
-
| crows_pairs_french (Median of 7 prompts) | fra | acc ↑ | 0.506 | 0.499 |
|
2204 |
-
| diabla (Median of 2 prompts) | eng | acc ↑ | 0.295 | 0.289 |
|
2205 |
-
| gsarti/flores_101_afr | afr | byte_perplexity ↓ | 4.254 | 3.381 |
|
2206 |
-
| gsarti/flores_101_amh | amh | byte_perplexity ↓ | 3.717 | 3.87 |
|
2207 |
-
| gsarti/flores_101_ara | ara | byte_perplexity ↓ | 1.705 | 2.42 |
|
2208 |
-
| gsarti/flores_101_asm | asm | byte_perplexity ↓ | 6.577 | 3.028 |
|
2209 |
-
| gsarti/flores_101_ast | ast | byte_perplexity ↓ | 2.856 | 4.737 |
|
2210 |
-
| gsarti/flores_101_azj | azj | byte_perplexity ↓ | 4.807 | 4.767 |
|
2211 |
-
| gsarti/flores_101_bel | bel | byte_perplexity ↓ | 2.731 | 2.557 |
|
2212 |
-
| gsarti/flores_101_ben | ben | byte_perplexity ↓ | 5.993 | 2.243 |
|
2213 |
-
| gsarti/flores_101_bos | bos | byte_perplexity ↓ | 3.594 | 2.668 |
|
2214 |
-
| gsarti/flores_101_bul | bul | byte_perplexity ↓ | 2.159 | 2.099 |
|
2215 |
-
| gsarti/flores_101_cat | cat | byte_perplexity ↓ | 2.168 | 2.837 |
|
2216 |
-
| gsarti/flores_101_ceb | ceb | byte_perplexity ↓ | 5.287 | 3.636 |
|
2217 |
-
| gsarti/flores_101_ces | ces | byte_perplexity ↓ | 3.452 | 2.749 |
|
2218 |
-
| gsarti/flores_101_ckb | ckb | byte_perplexity ↓ | 3.705 | 4.688 |
|
2219 |
-
| gsarti/flores_101_cym | cym | byte_perplexity ↓ | 7.089 | 5.075 |
|
2220 |
-
| gsarti/flores_101_dan | dan | byte_perplexity ↓ | 3.43 | 2.492 |
|
2221 |
-
| gsarti/flores_101_deu | deu | byte_perplexity ↓ | 2.338 | 2.099 |
|
2222 |
-
| gsarti/flores_101_ell | ell | byte_perplexity ↓ | 1.96 | 1.811 |
|
2223 |
-
| gsarti/flores_101_eng | eng | byte_perplexity ↓ | 1.882 | 1.9 |
|
2224 |
-
| gsarti/flores_101_est | est | byte_perplexity ↓ | 5.774 | 3.533 |
|
2225 |
-
| gsarti/flores_101_fas | fas | byte_perplexity ↓ | 2.431 | 2.444 |
|
2226 |
-
| gsarti/flores_101_fin | fin | byte_perplexity ↓ | 4.304 | 2.601 |
|
2227 |
-
| gsarti/flores_101_fra | fra | byte_perplexity ↓ | 1.937 | 1.984 |
|
2228 |
-
| gsarti/flores_101_ful | ful | byte_perplexity ↓ | 9.74 | 11.84 |
|
2229 |
-
| gsarti/flores_101_gle | gle | byte_perplexity ↓ | 6.035 | 3.914 |
|
2230 |
-
| gsarti/flores_101_glg | glg | byte_perplexity ↓ | 2.365 | 3.015 |
|
2231 |
-
| gsarti/flores_101_guj | guj | byte_perplexity ↓ | 5.707 | 2.438 |
|
2232 |
-
| gsarti/flores_101_hau | hau | byte_perplexity ↓ | 8.855 | 5.283 |
|
2233 |
-
| gsarti/flores_101_heb | heb | byte_perplexity ↓ | 2.921 | 2.903 |
|
2234 |
-
| gsarti/flores_101_hin | hin | byte_perplexity ↓ | 5.452 | 1.86 |
|
2235 |
-
| gsarti/flores_101_hrv | hrv | byte_perplexity ↓ | 3.706 | 2.715 |
|
2236 |
-
| gsarti/flores_101_hun | hun | byte_perplexity ↓ | 4.059 | 2.865 |
|
2237 |
-
| gsarti/flores_101_hye | hye | byte_perplexity ↓ | 3.127 | 3.411 |
|
2238 |
-
| gsarti/flores_101_ibo | ibo | byte_perplexity ↓ | 3.95 | 8.008 |
|
2239 |
-
| gsarti/flores_101_ind | ind | byte_perplexity ↓ | 1.976 | 2.632 |
|
2240 |
-
| gsarti/flores_101_isl | isl | byte_perplexity ↓ | 5.501 | 4.701 |
|
2241 |
-
| gsarti/flores_101_ita | ita | byte_perplexity ↓ | 2.314 | 2.104 |
|
2242 |
-
| gsarti/flores_101_jav | jav | byte_perplexity ↓ | 4.942 | 8.16 |
|
2243 |
-
| gsarti/flores_101_jpn | jpn | byte_perplexity ↓ | 2.259 | 2.198 |
|
2244 |
-
| gsarti/flores_101_kam | kam | byte_perplexity ↓ | 9.743 | 10.981 |
|
2245 |
-
| gsarti/flores_101_kan | kan | byte_perplexity ↓ | 6.234 | 2.373 |
|
2246 |
-
| gsarti/flores_101_kat | kat | byte_perplexity ↓ | 2.051 | 2.466 |
|
2247 |
-
| gsarti/flores_101_kaz | kaz | byte_perplexity ↓ | 3.039 | 4.376 |
|
2248 |
-
| gsarti/flores_101_kea | kea | byte_perplexity ↓ | 7.147 | 9.632 |
|
2249 |
-
| gsarti/flores_101_khm | khm | byte_perplexity ↓ | 3.367 | 2.646 |
|
2250 |
-
| gsarti/flores_101_kir | kir | byte_perplexity ↓ | 3.241 | 4.522 |
|
2251 |
-
| gsarti/flores_101_kor | kor | byte_perplexity ↓ | 2.902 | 3.376 |
|
2252 |
-
| gsarti/flores_101_lao | lao | byte_perplexity ↓ | 2.331 | 3.106 |
|
2253 |
-
| gsarti/flores_101_lav | lav | byte_perplexity ↓ | 5.224 | 4.811 |
|
2254 |
-
| gsarti/flores_101_lin | lin | byte_perplexity ↓ | 4.847 | 8.871 |
|
2255 |
-
| gsarti/flores_101_lit | lit | byte_perplexity ↓ | 4.543 | 5.183 |
|
2256 |
-
| gsarti/flores_101_ltz | ltz | byte_perplexity ↓ | 5.591 | 7.158 |
|
2257 |
-
| gsarti/flores_101_lug | lug | byte_perplexity ↓ | 5.43 | 7.399 |
|
2258 |
-
| gsarti/flores_101_luo | luo | byte_perplexity ↓ | 12.031 | 11.951 |
|
2259 |
-
| gsarti/flores_101_mal | mal | byte_perplexity ↓ | 4.794 | 2.054 |
|
2260 |
-
| gsarti/flores_101_mar | mar | byte_perplexity ↓ | 6.857 | 2.274 |
|
2261 |
-
| gsarti/flores_101_mkd | mkd | byte_perplexity ↓ | 2.335 | 2.538 |
|
2262 |
-
| gsarti/flores_101_mlt | mlt | byte_perplexity ↓ | 9.041 | 5.996 |
|
2263 |
-
| gsarti/flores_101_mon | mon | byte_perplexity ↓ | 3.095 | 4.519 |
|
2264 |
-
| gsarti/flores_101_mri | mri | byte_perplexity ↓ | 5.266 | 4.438 |
|
2265 |
-
| gsarti/flores_101_msa | msa | byte_perplexity ↓ | 2.222 | 2.935 |
|
2266 |
-
| gsarti/flores_101_mya | mya | byte_perplexity ↓ | 2.523 | 2.413 |
|
2267 |
-
| gsarti/flores_101_nld | nld | byte_perplexity ↓ | 2.799 | 2.293 |
|
2268 |
-
| gsarti/flores_101_nob | nob | byte_perplexity ↓ | 3.629 | 2.593 |
|
2269 |
-
| gsarti/flores_101_npi | npi | byte_perplexity ↓ | 6.666 | 2.499 |
|
2270 |
-
| gsarti/flores_101_nso | nso | byte_perplexity ↓ | 5.015 | 8.485 |
|
2271 |
-
| gsarti/flores_101_nya | nya | byte_perplexity ↓ | 4.938 | 7.548 |
|
2272 |
-
| gsarti/flores_101_oci | oci | byte_perplexity ↓ | 3.607 | 4.936 |
|
2273 |
-
| gsarti/flores_101_orm | orm | byte_perplexity ↓ | 11.316 | 7.145 |
|
2274 |
-
| gsarti/flores_101_ory | ory | byte_perplexity ↓ | 5.982 | 2.668 |
|
2275 |
-
| gsarti/flores_101_pan | pan | byte_perplexity ↓ | 4.772 | 2.782 |
|
2276 |
-
| gsarti/flores_101_pol | pol | byte_perplexity ↓ | 3.012 | 2.432 |
|
2277 |
-
| gsarti/flores_101_por | por | byte_perplexity ↓ | 1.841 | 2.178 |
|
2278 |
-
| gsarti/flores_101_pus | pus | byte_perplexity ↓ | 4.624 | 4.785 |
|
2279 |
-
| gsarti/flores_101_ron | ron | byte_perplexity ↓ | 3.05 | 2.197 |
|
2280 |
-
| gsarti/flores_101_rus | rus | byte_perplexity ↓ | 1.708 | 1.689 |
|
2281 |
-
| gsarti/flores_101_slk | slk | byte_perplexity ↓ | 4.038 | 3.419 |
|
2282 |
-
| gsarti/flores_101_slv | slv | byte_perplexity ↓ | 4.141 | 3.582 |
|
2283 |
-
| gsarti/flores_101_sna | sna | byte_perplexity ↓ | 4.711 | 5.588 |
|
2284 |
-
| gsarti/flores_101_snd | snd | byte_perplexity ↓ | 4.206 | 5.667 |
|
2285 |
-
| gsarti/flores_101_som | som | byte_perplexity ↓ | 9.154 | 4.788 |
|
2286 |
-
| gsarti/flores_101_spa | spa | byte_perplexity ↓ | 1.796 | 2.098 |
|
2287 |
-
| gsarti/flores_101_srp | srp | byte_perplexity ↓ | 2.241 | 2.688 |
|
2288 |
-
| gsarti/flores_101_swe | swe | byte_perplexity ↓ | 3.345 | 2.468 |
|
2289 |
-
| gsarti/flores_101_swh | swh | byte_perplexity ↓ | 2.684 | 4.473 |
|
2290 |
-
| gsarti/flores_101_tam | tam | byte_perplexity ↓ | 5.165 | 2.024 |
|
2291 |
-
| gsarti/flores_101_tel | tel | byte_perplexity ↓ | 6.81 | 2.407 |
|
2292 |
-
| gsarti/flores_101_tgk | tgk | byte_perplexity ↓ | 3.785 | 4.899 |
|
2293 |
-
| gsarti/flores_101_tgl | tgl | byte_perplexity ↓ | 3.75 | 2.738 |
|
2294 |
-
| gsarti/flores_101_tha | tha | byte_perplexity ↓ | 2.104 | 2.035 |
|
2295 |
-
| gsarti/flores_101_tur | tur | byte_perplexity ↓ | 3.318 | 2.622 |
|
2296 |
-
| gsarti/flores_101_ukr | ukr | byte_perplexity ↓ | 2.089 | 1.93 |
|
2297 |
-
| gsarti/flores_101_umb | umb | byte_perplexity ↓ | 11.766 | 11.64 |
|
2298 |
-
| gsarti/flores_101_urd | urd | byte_perplexity ↓ | 1.779 | 2.982 |
|
2299 |
-
| gsarti/flores_101_uzb | uzb | byte_perplexity ↓ | 8.5 | 13.209 |
|
2300 |
-
| gsarti/flores_101_vie | vie | byte_perplexity ↓ | 1.659 | 2.229 |
|
2301 |
-
| gsarti/flores_101_wol | wol | byte_perplexity ↓ | 6.142 | 13.945 |
|
2302 |
-
| gsarti/flores_101_xho | xho | byte_perplexity ↓ | 4.69 | 8.42 |
|
2303 |
-
| gsarti/flores_101_yor | yor | byte_perplexity ↓ | 4.361 | 7.636 |
|
2304 |
-
| gsarti/flores_101_zho_simpl | zho_simpl | byte_perplexity ↓ | 2.118 | 5.113 |
|
2305 |
-
| gsarti/flores_101_zho_trad | zho_trad | byte_perplexity ↓ | 2.274 | 5.67 |
|
2306 |
-
| gsarti/flores_101_zul | zul | byte_perplexity ↓ | 6.017 | 7.341 |
|
2307 |
-
| headqa | esp | acc ↑ | 0.346 | 0.244 |
|
2308 |
-
| hellaswag | eng | acc ↑ | 0.535 | 0.592 |
|
2309 |
-
| lambada_mt_de | deu | acc ↑ | 0.329 | 0.358 |
|
2310 |
-
| lambada_mt_en | eng | acc ↑ | 0.672 | 0.747 |
|
2311 |
-
| lambada_mt_es | esp | acc ↑ | 0.476 | 0.397 |
|
2312 |
-
| lambada_mt_it | ita | acc ↑ | 0.406 | 0.409 |
|
2313 |
-
| logiqa | eng | acc ↑ | 0.235 | 0.244 |
|
2314 |
-
| mathqa | eng | acc ↑ | 0.277 | 0.268 |
|
2315 |
-
| mc_taco | eng | em ↑ | 0.131 | 0.124 |
|
2316 |
-
| mnli (Median of 15 prompts) | eng | acc ↑ | 0.355 | 0.36 |
|
2317 |
-
| mnli_mismatched (Median of 15 prompts) | eng | acc ↑ | 0.355 | 0.36 |
|
2318 |
-
| mrpc | eng | acc ↑ | 0.387 | 0.446 |
|
2319 |
-
| multirc (Median of 11 prompts) | eng | acc ↑ | 0.571 | 0.599 |
|
2320 |
-
| openbookqa | eng | acc ↑ | 0.312 | 0.322 |
|
2321 |
-
| piqa | eng | acc ↑ | 0.781 | 0.791 |
|
2322 |
-
| prost | eng | acc ↑ | 0.298 | 0.299 |
|
2323 |
-
| pubmedqa | eng | acc ↑ | 0.741 | 0.709 |
|
2324 |
-
| qnli | eng | acc ↑ | 0.517 | 0.554 |
|
2325 |
-
| qqp (Median of 7 prompts) | eng | acc ↑ | 0.588 | 0.395 |
|
2326 |
-
| race | eng | acc ↑ | 0.39 | 0.402 |
|
2327 |
-
| rte (Median of 6 prompts) | eng | acc ↑ | 0.52 | 0.495 |
|
2328 |
-
| sciq | eng | acc ↑ | 0.936 | 0.948 |
|
2329 |
-
| sst (Median of 6 prompts) | eng | acc ↑ | 0.604 | 0.647 |
|
2330 |
-
| triviaqa | eng | acc ↑ | 0.183 | 0.342 |
|
2331 |
-
| tydiqa_primary (Median of 16 prompts) | eng | acc ↑ | 0.281 | 0.148 |
|
2332 |
-
| webqs | eng | acc ↑ | 0.062 | 0.159 |
|
2333 |
-
| wic (Median of 11 prompts) | eng | acc ↑ | 0.506 | 0.498 |
|
2334 |
-
| winogrande | eng | acc ↑ | 0.71 | 0.736 |
|
2335 |
-
| wnli (Median of 6 prompts) | eng | acc ↑ | 0.57 | 0.563 |
|
2336 |
-
| wsc (Median of 11 prompts) | eng | acc ↑ | 0.519 | 0.413 |
|
2337 |
-
| humaneval | python | pass@1 ↑ | 0.155 | 0.0 |
|
2338 |
-
| humaneval | python | pass@10 ↑ | 0.322 | 0.0 |
|
2339 |
-
| humaneval | python | pass@100 ↑ | 0.555 | 0.003 |
|
2340 |
-
|
2341 |
-
|
2342 |
-
**Train-time Evaluation:**
|
2343 |
-
|
2344 |
-
Final checkpoint after 95K steps:
|
2345 |
-
|
2346 |
-
- Training Loss: 1.939
|
2347 |
-
|
2348 |
-
- Validation Loss: 2.061
|
2349 |
-
|
2350 |
-
- Perplexity: 7.045
|
2351 |
-
|
2352 |
-
For more see: https://huggingface.co/bigscience/tr11-176B-ml-logs
|
2353 |
-
|
2354 |
-
</details>
|
2355 |
-
|
2356 |
-
---
|
2357 |
|
2358 |
# Recommendations
|
2359 |
|
|
|
169 |
A: Let's think step by step.
|
170 |
example_title: Mathematical reasoning
|
171 |
group: English
|
172 |
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173 |
---
|
174 |
|
175 |
<img src="https://s3.amazonaws.com/moonup/production/uploads/1657124309515-5f17f0a0925b9863e28ad517.png" alt="BigScience Logo" width="800" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
|
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|
558 |
---
|
559 |
|
560 |
# Evaluation
|
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|
561 |
|
562 |
+
We are currently working to perform systematic evaluation of our model. As results come in this section will be filled out.
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563 |
|
564 |
# Recommendations
|
565 |
|