koishi-instruct-3b / README.md
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Adding Evaluation Results (#4)
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datasets:
  - ewof/koishi-instruct-metharme

Base Model

native fine tune of togethercomputer/RedPajama-INCITE-Base-3B-v1

Prompting

The current model version has been trained on prompts using three different roles, which are denoted by the following tokens: <|system|>, <|user|> and <|model|>.

The <|system|> prompt can be used to inject out-of-channel information behind the scenes, while the <|user|> prompt should be used to indicate user input. The <|model|> token should then be used to indicate that the model should generate a response. These tokens can happen multiple times and be chained up to form a conversation history.

Benchmarks

trained on commit 96baf32 of the linked dataset

koishi_instruct_3b_v3_benchmarks.png

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric Value
Avg. 33.48
ARC (25-shot) 40.96
HellaSwag (10-shot) 64.54
MMLU (5-shot) 26.58
TruthfulQA (0-shot) 31.65
Winogrande (5-shot) 64.09
GSM8K (5-shot) 1.14
DROP (3-shot) 5.41