---
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            |