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Pythia-1b supervised finetuned with Anthropic-hh-rlhf dataset for 1 epoch (sft-model), before DPO (paper) with same dataset for 1 epoch.
See Pythia-1b for model details (paper).
Benchmark raw results:
Results for the base model are taken from the Pythia paper.
Zero shot
| Task | 1B_base | 1B_sft | 1B_dpo |
|---|---|---|---|
| Lambada (OpenAI) | 0.562 ± 0.007 | 0.563 ± 0.007 | 0.5575 ± 0.0069 |
| PIQA | 0.707 ± 0.011 | 0.711 ± 0.011 | 0.7122 ± 0.0106 |
| WinoGrande | 0.537 ± 0.014 | 0.534 ± 0.014 | 0.5525 ± 0.0140 |
| WSC | 0.365 ± 0.047 | 0.365 ± 0.047 | 0.3654 ± 0.0474 |
| ARC - Easy | 0.569 ± 0.010 | 0.583 ± 0.010 | 0.5901 ± 0.0101 |
| ARC - Challenge | 0.244 ± 0.013 | 0.248 ± 0.013 | 0.2611 ± 0.0128 |
| SciQ | 0.840 ± 0.012 | 0.847 ± 0.011 | 0.8530 ± 0.0112 |
| LogiQA | 0.223 ± 0.016 | N/A | N/A |
Five shot
| Task | 1B_base | 1B_sft | 1B_dpo |
|---|---|---|---|
| Lambada (OpenAI) | 0.507 ± 0.007 | 0.4722 ± 0.007 | 0.4669 ± 0.0070 |
| PIQA | 0.705 ± 0.011 | 0.7165 ± 0.0105 | 0.7138 ± 0.0105 |
| WinoGrande | 0.532 ± 0.014 | 0.5343 ± 0.014 | 0.5525 ± 0.0140 |
| WSC | 0.365 ± 0.047 | 0.5000 ± 0.0493 | 0.5577 ± 0.0489 |
| ARC - Easy | 0.594 ± 0.010 | 0.6010 ± 0.010 | 0.6170 ± 0.0100 |
| ARC - Challenge | 0.259 ± 0.013 | 0.2679 ± 0.0129 | 0.2833 ± 0.0132 |
| SciQ | 0.920 ± 0.009 | 0.9100 ± 0.0091 | 0.9020 ± 0.0094 |
| LogiQA | 0.227 ± 0.016 | N/A | N/A |
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