Model Card for GPT4All-J-LoRA
An Apache-2 licensed chatbot trained over a massive curated corpus of assistant interactions including word problems, multi-turn dialogue, code, poems, songs, and stories.
Model Details
Model Description
This model has been finetuned from GPT-J
- Developed by: Nomic AI
- Model Type: A finetuned GPT-J model on assistant style interaction data
- Language(s) (NLP): English
- License: Apache-2
- Finetuned from model [optional]: GPT-J
Model Sources [optional]
- Repository: https://github.com/nomic-ai/gpt4all
- Base Model Repository: https://github.com/kingoflolz/mesh-transformer-jax
- Paper [optional]: GPT4All-J: An Apache-2 Licensed Assistant-Style Chatbot
- Demo [optional]: https://gpt4all.io/
Training Procedure
GPT4All is made possible by our compute partner Paperspace.
Trained on a DGX cluster with 8 A100 80GB GPUs for ~12 hours. Using Deepspeed + Accelerate, we use a global batch size of 32 with a learning rate of 2e-5 using LoRA. More information can be found in the repo.
Results
Results on common sense reasoning benchmarks
Model BoolQ PIQA HellaSwag WinoGrande ARC-e ARC-c OBQA
----------------------- ---------- ---------- ----------- ------------ ---------- ---------- ----------
GPT4All-J 6.7B 73.4 74.8 63.4 64.7 54.9 36.0 40.2
GPT4All-J Lora 6.7B 68.6 75.8 66.2 63.5 56.4 35.7 40.2
GPT4All LLaMa Lora 7B 73.1 77.6 72.1 67.8 51.1 40.4 40.2
Dolly 6B 68.8 77.3 67.6 63.9 62.9 38.7 41.2
Dolly 12B 56.7 75.4 71.0 62.2 *64.6* 38.5 40.4
Alpaca 7B 73.9 77.2 73.9 66.1 59.8 43.3 43.4
Alpaca Lora 7B *74.3* *79.3* *74.0* *68.8* 56.6 *43.9* *42.6*
GPT-J 6.7B 65.4 76.2 66.2 64.1 62.2 36.6 38.2
LLaMa 7B 73.1 77.4 73.0 66.9 52.5 41.4 42.4
Pythia 6.7B 63.5 76.3 64.0 61.1 61.3 35.2 37.2
Pythia 12B 67.7 76.6 67.3 63.8 63.9 34.8 38
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