---
language:
- en
tags:
- pytorch
- causal-lm
- pythia
license: apache-2.0
datasets:
- Anthropic/hh-rlhf
---

# Infos

Pythia-1.4b supervised finetuned with Anthropic-hh-rlhf dataset for 1 epoch.

[wandb log](https://wandb.ai/pythia_dpo/Pythia_DPO_new/runs/xm0pxfej)

See [Pythia-1.4b](https://huggingface.co/EleutherAI/pythia-1.4b) 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             | 1.4B_base     | 1.4B_sft      |
|------------------|--------------:|--------------:|
| Lambada (OpenAI) | 0.616 ± 0.007 | 0.5977 ± 0.0068 |
| PIQA             | 0.711 ± 0.011 | 0.7133 ± 0.0106 |
| WinoGrande       | 0.573 ± 0.014 | 0.5793 ± 0.0139 |
| WSC              | 0.365 ± 0.047 | 0.3654 ± 0.0474 |
| ARC - Easy       | 0.606 ± 0.010 | 0.6098 ± 0.0100 |
| ARC - Challenge  | 0.260 ± 0.013 | 0.2696 ± 0.0130 |
| SciQ             | 0.865 ± 0.011 | 0.8540 ± 0.0112 |
| LogiQA           | 0.210 ± 0.016 | NA             |


## Five shot

| Task             | 1.4B_base      | 1.4B_sft       |
|------------------|----------------:|----------------:|
| Lambada (OpenAI) | 0.578 ± 0.007  | 0.5201 ± 0.007 |
| PIQA             | 0.705 ± 0.011  | 0.7176 ± 0.0105|
| WinoGrande       | 0.580 ± 0.014  | 0.5793 ± 0.0139|
| WSC              | 0.365 ± 0.047  | 0.5288 ± 0.0492|
| ARC - Easy       | 0.643 ± 0.010  | 0.6376 ± 0.0099|
| ARC - Challenge  | 0.290 ± 0.013  | 0.2935 ± 0.0133|
| SciQ             | 0.92 ± 0.009   | 0.9180 ± 0.0087|
| LogiQA           | 0.240 ± 0.017  | N/A            |