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Word2Li
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Mistral-7B-v0.3-Middo-Alpaca

Text Generation
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Safetensors
English
mistral
llama-factory
full
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Eval Results
text-generation-inference
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Update README.md

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  1. README.md +16 -16
README.md CHANGED
@@ -18,8 +18,8 @@ model-index:
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  name: MMLU
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  type: MMLU
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  metrics:
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- - name: Weighted Avg.
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- type: Weighted Avg.
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  value: 38.73
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  verified: true
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  - task:
@@ -28,8 +28,8 @@ model-index:
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  name: IFEval
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  type: IFEval
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  metrics:
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- - name: Avg.
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- type: Avg.
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  value: 44.01
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  verified: true
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  - task:
@@ -38,8 +38,8 @@ model-index:
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  name: GSM8K
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  type: GSM8K
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  metrics:
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- - name: pass@1
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- type: pass@1
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  value: 34.80
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  verified: true
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  - task:
@@ -48,8 +48,8 @@ model-index:
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  name: MATH
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  type: MATH
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  metrics:
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- - name: pass@1
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- type: pass@1
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  value: 6.64
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  verified: true
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  - task:
@@ -58,8 +58,8 @@ model-index:
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  name: HumanEval
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  type: HumanEval
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  metrics:
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- - name: pass@1
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- type: pass@1
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  value: 26.22
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  verified: true
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  - task:
@@ -68,8 +68,8 @@ model-index:
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  name: MBPP
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  type: MBPP
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  metrics:
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- - name: pass@1
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- type: pass@1
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  value: 31.40
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  verified: true
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  - task:
@@ -78,8 +78,8 @@ model-index:
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  name: Hellaswag
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  type: Hellaswag
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  metrics:
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- - name: pass@1
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- type: pass@1
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  value: 44.86
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  verified: true
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  - task:
@@ -88,8 +88,8 @@ model-index:
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  name: GPQA
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  type: GPQA
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  metrics:
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- - name: pass@1
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- type: pass@1
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  value: 11.11
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  verified: true
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  metrics:
 
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  name: MMLU
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  type: MMLU
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  metrics:
21
+ - name: weighted accuracy
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+ type: weighted accuracy
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  value: 38.73
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  verified: true
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  - task:
 
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  name: IFEval
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  type: IFEval
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  metrics:
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+ - name: overall accuracy
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+ type: overall accuracy
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  value: 44.01
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  verified: true
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  - task:
 
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  name: GSM8K
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  type: GSM8K
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  metrics:
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+ - name: accuracy
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+ type: accuracy
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  value: 34.80
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  verified: true
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  - task:
 
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  name: MATH
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  type: MATH
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  metrics:
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+ - name: accuracy
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+ type: accuracy
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  value: 6.64
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  verified: true
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  - task:
 
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  name: HumanEval
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  type: HumanEval
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  metrics:
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+ - name: humaneval_pass@1
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+ type: humaneval_pass@1
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  value: 26.22
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  verified: true
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  - task:
 
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  name: MBPP
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  type: MBPP
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  metrics:
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+ - name: score
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+ type: score
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  value: 31.40
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  verified: true
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  - task:
 
78
  name: Hellaswag
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  type: Hellaswag
80
  metrics:
81
+ - name: accuracy
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+ type: accuracy
83
  value: 44.86
84
  verified: true
85
  - task:
 
88
  name: GPQA
89
  type: GPQA
90
  metrics:
91
+ - name: accuracy
92
+ type: accuracy
93
  value: 11.11
94
  verified: true
95
  metrics: