Question answering model finetuned from GPT4All-J v1.3 with Direct Preference Optimization.
Dataset: Dahoas/instruct-synthetic-prompt-responses.
The model was finetuned with the following promt: "Answer the following question in context:\n\nQuestion: " + samples["prompt"] + " Answer: "
It should be benefical to use the same or a similar prompt for inference.
An increase in performance compared to GPT4All-J v1.3 was observed when using two-shot Chain-of-Thought prompting.
| HellaSwag | WinoGrande | BooLQ | ARC-c |
|---|---|---|---|
| 62.37% | 63.3% | 65.2% | 32.76% |
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