|
--- |
|
license: mit |
|
datasets: |
|
- Open-Orca/SlimOrca-Dedup |
|
- migtissera/Synthia-v1.3 |
|
- LDJnr/Verified-Camel |
|
- LDJnr/Pure-Dove |
|
- LDJnr/Capybara |
|
- meta-math/MetaMathQA |
|
- Intel/orca_dpo_pairs |
|
- argilla/ultrafeedback-binarized-preferences-cleaned |
|
widget: |
|
- example_title: "Example interaction" |
|
text: "Why is the sky blue?" |
|
inference: |
|
parameters: |
|
do_sample: True |
|
temperature: 0.1 |
|
model-index: |
|
- name: phi-2-orange-v2 |
|
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: 61.86 |
|
name: normalized accuracy |
|
source: |
|
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=rhysjones/phi-2-orange-v2 |
|
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: 76.32 |
|
name: normalized accuracy |
|
source: |
|
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=rhysjones/phi-2-orange-v2 |
|
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: 55.72 |
|
name: accuracy |
|
source: |
|
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=rhysjones/phi-2-orange-v2 |
|
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: 54.84 |
|
source: |
|
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=rhysjones/phi-2-orange-v2 |
|
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: 75.69 |
|
name: accuracy |
|
source: |
|
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=rhysjones/phi-2-orange-v2 |
|
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: 57.62 |
|
name: accuracy |
|
source: |
|
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=rhysjones/phi-2-orange-v2 |
|
name: Open LLM Leaderboard |
|
--- |
|
 |
|
|
|
# Phi-2 Orange Version 2 |
|
|
|
A two-step finetune of Phi-2, with a bit more zest. |
|
|
|
This is an improved version of the original [Phi-2-Orange](https://huggingface.co/rhysjones/phi-2-orange) that |
|
uses an updated training process on the same datasets. |
|
|
|
It also uses the latest updated model from Microsoft's [Phi-2](https://huggingface.co/microsoft/phi-2), making it directly usable |
|
within Hugging Face's Transformers library (without the need for trust remote code). |
|
|
|
# Prompt Format |
|
|
|
Phi-2 Orange v2 uses ChatML as the prompt format. |
|
(Update 12th March 2024: fixed eos_token issue) |
|
|
|
It's recommended to always prompt with a system instruction (use whatever system prompt you like): |
|
|
|
``` |
|
<|im_start|>system |
|
You are a helpful assistant for Python which outputs in Markdown format.<|im_end|> |
|
<|im_start|>user |
|
Write a function to calculate the Fibonacci sequence<|im_end|> |
|
<|im_start|>assistant |
|
|
|
``` |
|
|
|
For example, if you find the model's output to be overly verbose, instruct it to be short and concise: |
|
|
|
``` |
|
<|im_start|>system |
|
You are a helpful assistant. Be short and direct in your answers.<|im_end|> |
|
<|im_start|>user |
|
Was Tom Hanks in the movie Forrest Gump? If so, who did he play and give details of the plot.<|im_end|> |
|
<|im_start|>assistant |
|
``` |
|
|
|
# Evaluations |
|
|
|
|
|
[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_rhysjones__phi-2-orange-v2) |
|
| Metric |Value| |
|
|---------------------------------|----:| |
|
|Average |63.67| |
|
|AI2 Reasoning Challenge (25-Shot)|61.86| |
|
|HellaSwag (10-Shot) |76.32| |
|
|MMLU (5-Shot) |55.72| |
|
|TruthfulQA (0-shot) |54.84| |
|
|Winogrande (5-shot) |75.69| |
|
|GSM8k (5-shot) |57.62| |
|
|
|
[YALL - Yet Another LLM Leaderboard](https://huggingface.co/spaces/mlabonne/Yet_Another_LLM_Leaderboard) |
|
Evaluation from [mlabonne](https://huggingface.co/mlabonne)'s alternative LLM leaderboard: |
|
| Metric |Value| |
|
|---------------------------------|----:| |
|
|Average |49.64| |
|
|AGIEval |34.55| |
|
|GPT4All |70.96| |
|
|TruthfulQA |54.87| |
|
|Bigbench |38.17| |
|
|
|
# Limitations |
|
|
|
This model shares the same limitations as the underlying Phi-2 model, details of which are found [here](https://huggingface.co/microsoft/phi-2#limitations-of-phi-2). |
|
|
|
|
|
|
