metadata
license: mit
datasets:
- argilla/distilabel-intel-orca-dpo-pairs
- jondurbin/truthy-dpo-v0.1
- argilla/distilabel-math-preference-dpo
- argilla/distilabel-capybara-dpo-7k-binarized
language:
- en
library_name: adapter-transformers
base_model: Technoculture/MT7Bi-sft
Technoculture/MT7Bi-alpha-dpo-v-0.2
Open LLM Leaderboard
| Model Name | ARC | HellaSwag | MMLU | TruthfulQA | Winogrande | GSM8K |
|---|---|---|---|---|---|---|
| Orca-2-7b | 78.4 | 76.1 | 53.7 | 52.4 | 74.2 | 47.2 |
| LLAMA-2-7b | 43.2 | 77.1 | 44.4 | 38.7 | 69.5 | 16 |
| MT7Bi-sft | 54.1 | 75.11 | - | 43.08 | 72.14 | 15.54 |
| MT7Bi-alpha-dpo-v0.2 | 54.69 | 75.89 | 52.82 | 45.48 | 71.58 | 25.93 |
Training Details
- GPU: Nvidia A100 Tensor Core GPU
- Total Batches: 4266
- Epochs: 3
- Duration: 3 hours, 59 minutes, and 55 seconds
DPO Training Dataset Mixture
| Dataset Name | Original Size(Rows) | Ratio | Size After Ratio(Rows) |
|---|---|---|---|
| argilla/distilabel-math-preference-dpo | 2.4k | 1.0 | 2.4k |
| argilla/distilabel-intel-orca-dpo-pairs | 12.9k | 0.5 | 6.45k |
| jondurbin/truthy-dpo-v0.1 | 1.04k | 1.0 | 1.04k |
| argilla/distilabel-capybara-dpo-7k-binarized | 7.5k | 0.2 | 1.5k |
| Total Size: 11.38k |
Training Loss Plot
Training Loss Smoothed Plot
For full details of this dpo-training please go through our notebook.
