Text Generation
Transformers
PyTorch
TensorBoard
Safetensors
bloom
Eval Results
text-generation-inference
Inference Endpoints
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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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- model-index:
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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:
182
- - 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
200
- dataset:
201
- name: axb
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- type: axb
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- metrics:
204
- - 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
222
- 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
243
- name: text generation
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- dataset:
245
- name: cola
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- type: cola
247
- 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
261
- 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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- 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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- 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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- 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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- 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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- verified: false
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- name: text generation
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- name: gsarti/flores_101_bel
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- type: gsarti/flores_101_bel
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- - name: byte_perplexity
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- verified: false
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- name: gsarti/flores_101_ben
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- - name: byte_perplexity
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- verified: false
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- - task:
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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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- 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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- 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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- 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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- name: text generation
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- dataset:
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- name: gsarti/flores_101_ckb
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- metrics:
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- - name: byte_perplexity
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- verified: false
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- name: text generation
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- name: gsarti/flores_101_cym
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- type: byte_perplexity
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- name: gsarti/flores_101_dan
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- name: gsarti/flores_101_eng
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1449
- value: 0.3291286629148069
1450
- verified: false
1451
- - task:
1452
- type: text-generation
1453
- name: text generation
1454
- dataset:
1455
- name: lambada_mt_en
1456
- type: lambada_mt_en
1457
- metrics:
1458
- - name: acc
1459
- type: acc
1460
- value: 0.6720357073549389
1461
- verified: false
1462
- - task:
1463
- type: text-generation
1464
- name: text generation
1465
- dataset:
1466
- name: lambada_mt_es
1467
- type: lambada_mt_es
1468
- metrics:
1469
- - name: acc
1470
- type: acc
1471
- value: 0.476421502037648
1472
- verified: false
1473
- - task:
1474
- type: text-generation
1475
- name: text generation
1476
- 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
- ## Metrics
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
+
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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'"/>
 
558
  ---
559
 
560
  # Evaluation
 
 
 
 
 
561
 
562
+ We are currently working to perform systematic evaluation of our model. As results come in this section will be filled out.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
563
 
564
  # Recommendations
565