mistral-7b-raw-sft / README.md
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Adding Evaluation Results
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---
license: mit
model-index:
- name: mistral-7b-raw-sft
results:
- task:
type: text-generation
name: Text Generation
dataset:
name: AI2 Reasoning Challenge (25-Shot)
type: ai2_arc
config: ARC-Challenge
split: test
args:
num_few_shot: 25
metrics:
- type: acc_norm
value: 47.44
name: normalized accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=ewqr2130/mistral-7b-raw-sft
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: HellaSwag (10-Shot)
type: hellaswag
split: validation
args:
num_few_shot: 10
metrics:
- type: acc_norm
value: 75.25
name: normalized accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=ewqr2130/mistral-7b-raw-sft
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: MMLU (5-Shot)
type: cais/mmlu
config: all
split: test
args:
num_few_shot: 5
metrics:
- type: acc
value: 33.86
name: accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=ewqr2130/mistral-7b-raw-sft
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: TruthfulQA (0-shot)
type: truthful_qa
config: multiple_choice
split: validation
args:
num_few_shot: 0
metrics:
- type: mc2
value: 40.77
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=ewqr2130/mistral-7b-raw-sft
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: Winogrande (5-shot)
type: winogrande
config: winogrande_xl
split: validation
args:
num_few_shot: 5
metrics:
- type: acc
value: 73.01
name: accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=ewqr2130/mistral-7b-raw-sft
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: GSM8k (5-shot)
type: gsm8k
config: main
split: test
args:
num_few_shot: 5
metrics:
- type: acc
value: 3.71
name: accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=ewqr2130/mistral-7b-raw-sft
name: Open LLM Leaderboard
---
take the mistral raw 7b model, and run SFT on it. 6000 epoch.
take the mistral raw 7b model, and run SFT on it. 6000 epoch.
take the mistral raw 7b model, and run SFT on it. 6000 epoch.
take the mistral raw 7b model, and run SFT on it. 6000 epoch.
# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_ewqr2130__mistral-7b-raw-sft)
| Metric |Value|
|---------------------------------|----:|
|Avg. |45.67|
|AI2 Reasoning Challenge (25-Shot)|47.44|
|HellaSwag (10-Shot) |75.25|
|MMLU (5-Shot) |33.86|
|TruthfulQA (0-shot) |40.77|
|Winogrande (5-shot) |73.01|
|GSM8k (5-shot) | 3.71|