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---
language:
- en
tags:
- pytorch
- causal-lm
- pythia
license: apache-2.0
datasets:
- Anthropic/hh-rlhf
---
# Infos
Pythia-1b supervised finetuned with Anthropic-hh-rlhf dataset for 1 epoch.
[wandb log](https://wandb.ai/pythia_dpo/Pythia_DPO_new/runs/xk2ub7ig?workspace=user-leogrin)
See [Pythia-1b](https://huggingface.co/EleutherAI/pythia-1b) for model details [(paper)](https://arxiv.org/abs/2101.00027).
# Benchmark raw results:
Results for the base model are taken from the [Pythia paper](https://arxiv.org/abs/2101.00027).
## Zero shot
| Task | 1B_base | 1B_sft |
|------------------|----------------|----------------|
| Lambada (OpenAI) | 0.562 ± 0.007 | 0.563 ± 0.007 |
| PIQA | 0.707 ± 0.011 | 0.711 ± 0.011 |
| WinoGrande | 0.537 ± 0.014 | 0.534 ± 0.014 |
| WSC | 0.365 ± 0.047 | 0.365 ± 0.047 |
| ARC - Easy | 0.569 ± 0.010 | 0.583 ± 0.010 |
| ARC - Challenge | 0.244 ± 0.013 | 0.248 ± 0.013 |
| SciQ | 0.840 ± 0.012 | 0.847 ± 0.011 |
| LogiQA | 0.223 ± 0.016 | -- |
## Five shot
| Task | 1B_base | 1B_sft |
|------------------|----------------|----------------|
| Lambada (OpenAI) | 0.507 ± 0.007 | 0.4722 ± 0.007 |
| PIQA | 0.705 ± 0.011 | 0.7165 ± 0.0105|
| WinoGrande | 0.532 ± 0.014 | 0.5343 ± 0.014 |
| WSC | 0.365 ± 0.047 | 0.5000 ± 0.0493|
| ARC - Easy | 0.594 ± 0.010 | 0.6010 ± 0.010 |
| ARC - Challenge | 0.259 ± 0.013 | 0.2679 ± 0.0129|
| SciQ | 0.920 ± 0.009 | 0.9100 ± 0.0091|
| LogiQA | 0.227 ± 0.016 | N/A |
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