Adding Evaluation Results
#1
by
TeeZee
- opened
README.md
CHANGED
@@ -1,5 +1,108 @@
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---
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license: apache-2.0
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---
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### TeeZee/GALAXY-XB-v.02 ###
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@@ -9,4 +112,17 @@ Experiment, can DUS be taken one or more steps further?
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- 10 layers removed from both models this time, 2 more than in original paper.
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- base version of upstage/SOLAR-10.7B-v1.0 used for merge
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- no finetuning done yet, this is just a merge, first step in DUS paper
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- next step, if evaluation proves that its at least as 'smart' as base model, should be finetuning to 'recover' after merge
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---
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license: apache-2.0
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model-index:
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- name: GALAXY-XB-v.02
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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: AI2 Reasoning Challenge (25-Shot)
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type: ai2_arc
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config: ARC-Challenge
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split: test
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args:
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num_few_shot: 25
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metrics:
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- type: acc_norm
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value: 60.67
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name: normalized accuracy
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=TeeZee/GALAXY-XB-v.02
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name: Open LLM Leaderboard
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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: HellaSwag (10-Shot)
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type: hellaswag
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split: validation
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args:
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num_few_shot: 10
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metrics:
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- type: acc_norm
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value: 83.27
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name: normalized accuracy
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=TeeZee/GALAXY-XB-v.02
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name: Open LLM Leaderboard
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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: MMLU (5-Shot)
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type: cais/mmlu
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config: all
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split: test
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args:
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num_few_shot: 5
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metrics:
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- type: acc
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value: 64.99
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name: accuracy
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=TeeZee/GALAXY-XB-v.02
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name: Open LLM Leaderboard
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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: TruthfulQA (0-shot)
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type: truthful_qa
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config: multiple_choice
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split: validation
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args:
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num_few_shot: 0
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metrics:
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- type: mc2
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value: 43.6
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=TeeZee/GALAXY-XB-v.02
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name: Open LLM Leaderboard
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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: Winogrande (5-shot)
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type: winogrande
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config: winogrande_xl
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split: validation
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args:
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num_few_shot: 5
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metrics:
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- type: acc
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value: 80.27
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name: accuracy
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=TeeZee/GALAXY-XB-v.02
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name: Open LLM Leaderboard
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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: GSM8k (5-shot)
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type: gsm8k
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config: main
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split: test
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args:
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num_few_shot: 5
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metrics:
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- type: acc
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value: 42.08
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name: accuracy
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=TeeZee/GALAXY-XB-v.02
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name: Open LLM Leaderboard
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---
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### TeeZee/GALAXY-XB-v.02 ###
|
108 |
|
|
|
112 |
- 10 layers removed from both models this time, 2 more than in original paper.
|
113 |
- base version of upstage/SOLAR-10.7B-v1.0 used for merge
|
114 |
- no finetuning done yet, this is just a merge, first step in DUS paper
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115 |
+
- next step, if evaluation proves that its at least as 'smart' as base model, should be finetuning to 'recover' after merge
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+
# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
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Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_TeeZee__GALAXY-XB-v.02)
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| Metric |Value|
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|---------------------------------|----:|
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|Avg. |62.48|
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|AI2 Reasoning Challenge (25-Shot)|60.67|
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|HellaSwag (10-Shot) |83.27|
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|MMLU (5-Shot) |64.99|
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|TruthfulQA (0-shot) |43.60|
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|Winogrande (5-shot) |80.27|
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|GSM8k (5-shot) |42.08|
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