初始化项目，由ModelHub XC社区提供模型
Model: kyujinpy/SOLAR-Platypus-10.7B-v1 Source: Original Platform
This commit is contained in:
ModelHub XC
188
README.md
Normal file
188
README.md
Normal file
@@ -0,0 +1,188 @@
|
||||
---
|
||||
language:
|
||||
- en
|
||||
license: cc-by-nc-sa-4.0
|
||||
library_name: transformers
|
||||
datasets:
|
||||
- kyujinpy/Open-platypus-Commercial
|
||||
pipeline_tag: text-generation
|
||||
model-index:
|
||||
- name: SOLAR-Platypus-10.7B-v1
|
||||
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: 61.69
|
||||
name: normalized accuracy
|
||||
source:
|
||||
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=kyujinpy/SOLAR-Platypus-10.7B-v1
|
||||
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: 84.23
|
||||
name: normalized accuracy
|
||||
source:
|
||||
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=kyujinpy/SOLAR-Platypus-10.7B-v1
|
||||
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: 60.37
|
||||
name: accuracy
|
||||
source:
|
||||
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=kyujinpy/SOLAR-Platypus-10.7B-v1
|
||||
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: 51.58
|
||||
source:
|
||||
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=kyujinpy/SOLAR-Platypus-10.7B-v1
|
||||
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: 82.79
|
||||
name: accuracy
|
||||
source:
|
||||
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=kyujinpy/SOLAR-Platypus-10.7B-v1
|
||||
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: 11.07
|
||||
name: accuracy
|
||||
source:
|
||||
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=kyujinpy/SOLAR-Platypus-10.7B-v1
|
||||
name: Open LLM Leaderboard
|
||||
---
|
||||
|
||||
# **SOLAR-Platypus-10.7B-v1**
|
||||
|
||||
## Model Details
|
||||
|
||||
**Model Developers** Kyujin Han (kyujinpy)
|
||||
|
||||
**Input** Models input text only.
|
||||
|
||||
**Output** Models generate text only.
|
||||
|
||||
**Model Architecture**
|
||||
SOLAR-Platypus-10.7B-v1 is an auto-regressive language model based on the Llama2 architecture.
|
||||
|
||||
**Base Model**
|
||||
[upstage/SOLAR-10.7B-v1.0](https://huggingface.co/upstage/SOLAR-10.7B-v1.0)
|
||||
|
||||
**Training Dataset**
|
||||
[kyujinpy/Open-platypus-Commercial](https://huggingface.co/datasets/kyujinpy/Open-platypus-Commercial).
|
||||
|
||||
|
||||
## Notice
|
||||
While training, I used LoRA.
|
||||
The lora_r values is 16.
|
||||
|
||||
## Q-LoRA config
|
||||
- LoRA_r: 16
|
||||
- LoRA_alpha: 16
|
||||
- LoRA_dropout: 0.05
|
||||
- LoRA_target_modules: [gate_proj, up_proj, down_proj]
|
||||
|
||||
## Prompt
|
||||
- Alpaca template.
|
||||
|
||||
# **Model Benchmark**
|
||||
|
||||
## Open leaderboard
|
||||
- Follow up as [link](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).
|
||||
|
||||
| Model | Average | ARC | HellaSwag | MMLU | TruthfulQA | Winogrande | GSM8K |
|
||||
| --- | --- | --- | --- | --- | --- | --- | --- |
|
||||
| SOLAR-Platypus-10.7B-v1 | 58.62 | 61.69 | 84.23 | 60.37 | 51.58 | 82.79 | 11.07 |
|
||||
| SOLAR-Platypus-10.7B-v2 | 55.25 | 59.39 | 83.57 | 59.93 | 43.15 | 81.45 | 4.02 |
|
||||
| [upstage/SOLAR-10.7B-v1.0](https://huggingface.co/upstage/SOLAR-10.7B-v1.0) | 66.04 | 61.95 | 84.60 | 65.48 | 45.04 | 83.66 | 55.50 |
|
||||
|
||||
|
||||
# Implementation Code
|
||||
```python
|
||||
### KO-Platypus
|
||||
from transformers import AutoModelForCausalLM, AutoTokenizer
|
||||
import torch
|
||||
|
||||
repo = "kyujinpy/SOLAR-Platypus-10.7B-v1"
|
||||
OpenOrca = AutoModelForCausalLM.from_pretrained(
|
||||
repo,
|
||||
return_dict=True,
|
||||
torch_dtype=torch.float16,
|
||||
device_map='auto'
|
||||
)
|
||||
OpenOrca_tokenizer = AutoTokenizer.from_pretrained(repo)
|
||||
```
|
||||
|
||||
---
|
||||
# [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_kyujinpy__SOLAR-Platypus-10.7B-v1)
|
||||
|
||||
| Metric |Value|
|
||||
|---------------------------------|----:|
|
||||
|Avg. |58.62|
|
||||
|AI2 Reasoning Challenge (25-Shot)|61.69|
|
||||
|HellaSwag (10-Shot) |84.23|
|
||||
|MMLU (5-Shot) |60.37|
|
||||
|TruthfulQA (0-shot) |51.58|
|
||||
|Winogrande (5-shot) |82.79|
|
||||
|GSM8k (5-shot) |11.07|
|
||||
|
||||
Reference in New Issue
Block a user