license: mit
datasets:
- Open-Orca/OpenOrca
- ise-uiuc/Magicoder-Evol-Instruct-110K
- tatsu-lab/alpaca
- garage-bAInd/Open-Platypus
model-index:
- name: AIRIC-The-Mistral
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: 59.98
name: normalized accuracy
source:
url: >-
https://huggingface.co./spaces/HuggingFaceH4/open_llm_leaderboard?query=ericpolewski/AIRIC-The-Mistral
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: 82.98
name: normalized accuracy
source:
url: >-
https://huggingface.co./spaces/HuggingFaceH4/open_llm_leaderboard?query=ericpolewski/AIRIC-The-Mistral
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: 60.67
name: accuracy
source:
url: >-
https://huggingface.co./spaces/HuggingFaceH4/open_llm_leaderboard?query=ericpolewski/AIRIC-The-Mistral
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: 48.24
source:
url: >-
https://huggingface.co./spaces/HuggingFaceH4/open_llm_leaderboard?query=ericpolewski/AIRIC-The-Mistral
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: 76.95
name: accuracy
source:
url: >-
https://huggingface.co./spaces/HuggingFaceH4/open_llm_leaderboard?query=ericpolewski/AIRIC-The-Mistral
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: 30.86
name: accuracy
source:
url: >-
https://huggingface.co./spaces/HuggingFaceH4/open_llm_leaderboard?query=ericpolewski/AIRIC-The-Mistral
name: Open LLM Leaderboard
This is Mistral-v0.1 and a combination of the AIRIC dataset sprinkled into the other datasets listed. Trained for 3 epochs at rank 128 until loss hit about 1.37. I noticed some "it's important to remembers" in there that I may try to scrub out but otherwise the model wasn't intentionally censored.
The intent was to create a robot that I could converse with as well as use as an assistant. If you ask it what it's up to, it'll make something up as if it actually had a life with the right parameters. Before releasing it, I mixed in a lot of OpenOrca data vs what I put out as a chatbot originally to make it more genuinely useful. Set the top_p to .98 to get the most social results.
This was the original post: https://www.reddit.com/r/LocalLLaMA/comments/154to1w/i_trained_the_65b_model_on_my_texts_so_i_can_talk/
This is how I did the data extraction: https://www.linkedin.com/pulse/how-i-trained-ai-my-text-messages-make-robot-talks-like-eric-polewski-9nu1c/
This is an instruct model trained in the Alpaca format.
5-bit exl2 available at https://huggingface.co./ericpolewski/AIRIC-The-Mistral-5.0bpw-exl2
8-bit exl2 available at https://huggingface.co./ericpolewski/AIRIC-The-Mistral-8.0bpw-exl2
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 59.95 |
| AI2 Reasoning Challenge (25-Shot) | 59.98 |
| HellaSwag (10-Shot) | 82.98 |
| MMLU (5-Shot) | 60.67 |
| TruthfulQA (0-shot) | 48.24 |
| Winogrande (5-shot) | 76.95 |
| GSM8k (5-shot) | 30.86 |