Nova-13B / README.md
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Adding Evaluation Results
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---
language:
- en
license: cc-by-nc-4.0
datasets:
- garage-bAInd/Open-Platypus
model-index:
- name: Nova-13B
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: 62.71
name: normalized accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=TFLai/Nova-13B
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: 82.57
name: normalized accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=TFLai/Nova-13B
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: 57.98
name: accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=TFLai/Nova-13B
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: 51.34
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=TFLai/Nova-13B
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: 77.27
name: accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=TFLai/Nova-13B
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: 6.75
name: accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=TFLai/Nova-13B
name: Open LLM Leaderboard
---
![image/jpeg](https://cdn-uploads.huggingface.co/production/uploads/6468ce47e134d050a58aa89c/kSzHx_yaHRhzVSmUIJ_Yl.jpeg)
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# Nova-13b
Original weights of Nova-13B. Finetuned from [AIDC-ai-business/Luban-13B](https://huggingface.co/AIDC-ai-business/Luban-13B).
## Lora Weights
You can access lora weights from here:
[Weyaxi/Nova-13B-Lora](https://huggingface.co/Weyaxi/Nova-13B-Lora)
# Loss Graph
![image/png](https://cdn-uploads.huggingface.co/production/uploads/6468ce47e134d050a58aa89c/qFhP3fyTgWmBDPBHvUmus.png)
# [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_TFLai__Nova-13B)
| Metric | Value |
|-----------------------|---------------------------|
| Avg. | 49.64 |
| ARC (25-shot) | 62.71 |
| HellaSwag (10-shot) | 82.57 |
| MMLU (5-shot) | 57.98 |
| TruthfulQA (0-shot) | 51.34 |
| Winogrande (5-shot) | 77.27 |
| GSM8K (5-shot) | 6.75 |
| DROP (3-shot) | 8.84 |
# [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_TFLai__Nova-13B)
| Metric |Value|
|---------------------------------|----:|
|Avg. |56.44|
|AI2 Reasoning Challenge (25-Shot)|62.71|
|HellaSwag (10-Shot) |82.57|
|MMLU (5-Shot) |57.98|
|TruthfulQA (0-shot) |51.34|
|Winogrande (5-shot) |77.27|
|GSM8k (5-shot) | 6.75|