andysalerno/openchat-nectar-0.1

This is openchat/openchat-3.5-0106, tuned with DPO on a tiny subset Nectar. Only 200 steps, so nowhere close to a full epoch.

Careful attention was paid to make sure the chat template was followed properly.

Summary of versions:

openchat-nectar-0.1

• 200 steps, no filtering on Nectar dataset, 5e-5 learning rate

openchat-nectar-0.2

• empty repo, failed training. ignore it

openchat-nectar-0.3

• 500 steps, no filtering on Nectar dataset, 5e-5 learning rate (same as 1 but with more steps)

openchat-nectar-0.4

• 500 steps, filtered dataset to only include multi-chat-turn examples, used 4th ranking response as the "rejected" instead of 3rd, filtered out "good_natured=False", 5e-5 learning rate

openchat-nectar-0.5

• 5000 steps (over a full epoch), filtered dataset to only include multi-chat-turn examples, used 4th ranking response as the "rejected" instead of 3rd, filtered out "good_natured=False", 5e-6 learning rate. Same as 0.4 but with 10x the steps, and 1/10th the learning rate

openchat-nectar-0.6

• 500 steps, filtered dataset to only include multi-chat-turn examples, used 4th ranking response as the "rejected" instead of 3rd, filtered out "good_natured=False", 5e-5 learning rate. Same as 0.5 but with 1/10th the steps, and 10x the learning rate

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric	Value
Avg.	69.94
AI2 Reasoning Challenge (25-Shot)	66.21
HellaSwag (10-Shot)	82.99
MMLU (5-Shot)	65.17
TruthfulQA (0-shot)	54.22
Winogrande (5-shot)	81.37
GSM8k (5-shot)	69.67