Workbench
Collection
Untested and unfinished models. Works in progress.
•
8 items
•
Updated
TeeZee/NEBULA-XB-v1.0_SFT_2_epoch
Experiment, can DUS be taken one or more steps further?
Technical notes:
- pretrained model NEBULA-XB-v1.0 finetuned on 30k entries from Merge_Glue dataset
- 18 layers removed from both models of finetuned GALAXY-XB-v03
- model has 108 layers (((48-12)*2)-18)*2 = 108
- second step in scaling DUS procedure
To evaluate
- model performance after merge, should be a little lover that GALAXY finetuned on 50k of slimorca
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 58.02 |
| AI2 Reasoning Challenge (25-Shot) | 63.05 |
| HellaSwag (10-Shot) | 85.07 |
| MMLU (5-Shot) | 65.41 |
| TruthfulQA (0-shot) | 52.06 |
| Winogrande (5-shot) | 82.24 |
| GSM8k (5-shot) | 0.30 |
- Downloads last month
- 73
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social
visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.
Dataset used to train TeeZee/NEBULA-XB-v1.0_SFT_2_epoch
Collection including TeeZee/NEBULA-XB-v1.0_SFT_2_epoch
Evaluation results
- normalized accuracy on AI2 Reasoning Challenge (25-Shot)test set Open LLM Leaderboard63.050
- normalized accuracy on HellaSwag (10-Shot)validation set Open LLM Leaderboard85.070
- accuracy on MMLU (5-Shot)test set Open LLM Leaderboard65.410
- mc2 on TruthfulQA (0-shot)validation set Open LLM Leaderboard52.060
- accuracy on Winogrande (5-shot)validation set Open LLM Leaderboard82.240
- accuracy on GSM8k (5-shot)test set Open LLM Leaderboard0.300