metadata
language:
- en
tags:
- pytorch
- causal-lm
- pythia
license: apache-2.0
datasets:
- Anthropic/hh-rlhf
Pythia-70m supervised finetuned using TRLx library with the helpful subset of Anthropic-hh-rlhf dataset for 1 epoch.
Checkpoints are also uploaded.
Fully reproducible finetuning code is available on GitHub
See Pythia-70m for model details (paper).
See further details of these models in the paper Attributing Mode Collapse in the Fine-Tuning of Large Language Models.
You can cite these models if they are helpful as follows:
@inproceedings{o2024attributing,
title={Attributing Mode Collapse in the Fine-Tuning of Large Language Models},
author={O’Mahony, Laura and Grinsztajn, Leo and Schoelkopf, Hailey and Biderman, Stella},
booktitle={ICLR 2024, Mathematical and Empirical Understanding of Foundation Models (ME-FoMo) workshop},
year={2024}
}
hf (pretrained=lomahony/pythia-70m-helpful-sft), gen_kwargs: (None), limit: None, num_fewshot: 0, batch_size: 16
| Tasks | Version | Filter | n-shot | Metric | Value | Stderr | |
|---|---|---|---|---|---|---|---|
| arc_challenge | 1 | none | 0 | acc | 0.1715 | ± | 0.0110 |
| none | 0 | acc_norm | 0.2082 | ± | 0.0119 | ||
| arc_easy | 1 | none | 0 | acc | 0.3384 | ± | 0.0097 |
| none | 0 | acc_norm | 0.3262 | ± | 0.0096 | ||
| boolq | 2 | none | 0 | acc | 0.4239 | ± | 0.0086 |
| hellaswag | 1 | none | 0 | acc | 0.2629 | ± | 0.0044 |
| none | 0 | acc_norm | 0.2691 | ± | 0.0044 | ||
| lambada_openai | 1 | none | 0 | perplexity | 5937.7964 | ± | 424.7555 |
| none | 0 | acc | 0.0328 | ± | 0.0025 | ||
| openbookqa | 1 | none | 0 | acc | 0.1580 | ± | 0.0163 |
| none | 0 | acc_norm | 0.2520 | ± | 0.0194 | ||
| piqa | 1 | none | 0 | acc | 0.5593 | ± | 0.0116 |
| none | 0 | acc_norm | 0.5392 | ± | 0.0116 | ||
| sciq | 1 | none | 0 | acc | 0.3710 | ± | 0.0153 |
| none | 0 | acc_norm | 0.4990 | ± | 0.0158 | ||
| wikitext | 2 | none | 0 | word_perplexity | 550.5954 | ± | N/A |
| none | 0 | byte_perplexity | 3.2550 | ± | N/A | ||
| none | 0 | bits_per_byte | 1.7027 | ± | N/A | ||
| winogrande | 1 | none | 0 | acc | 0.4878 | ± | 0.0140 |
hf (pretrained=lomahony/pythia-70m-helpful-sft), gen_kwargs: (None), limit: None, num_fewshot: 5, batch_size: 16
| Tasks | Version | Filter | n-shot | Metric | Value | Stderr | |
|---|---|---|---|---|---|---|---|
| arc_challenge | 1 | none | 5 | acc | 0.1869 | ± | 0.0114 |
| none | 5 | acc_norm | 0.2210 | ± | 0.0121 | ||
| arc_easy | 1 | none | 5 | acc | 0.3207 | ± | 0.0096 |
| none | 5 | acc_norm | 0.3245 | ± | 0.0096 | ||
| boolq | 2 | none | 5 | acc | 0.4159 | ± | 0.0086 |
| hellaswag | 1 | none | 5 | acc | 0.2633 | ± | 0.0044 |
| none | 5 | acc_norm | 0.2596 | ± | 0.0044 | ||
| lambada_openai | 1 | none | 5 | perplexity | 19968.0749 | ± | 1423.3001 |
| none | 5 | acc | 0.0202 | ± | 0.0020 | ||
| openbookqa | 1 | none | 5 | acc | 0.1440 | ± | 0.0157 |
| none | 5 | acc_norm | 0.2420 | ± | 0.0192 | ||
| piqa | 1 | none | 5 | acc | 0.5359 | ± | 0.0116 |
| none | 5 | acc_norm | 0.5229 | ± | 0.0117 | ||
| sciq | 1 | none | 5 | acc | 0.3240 | ± | 0.0148 |
| none | 5 | acc_norm | 0.4310 | ± | 0.0157 | ||
| wikitext | 2 | none | 5 | word_perplexity | 550.5954 | ± | N/A |
| none | 5 | byte_perplexity | 3.2550 | ± | N/A | ||
| none | 5 | bits_per_byte | 1.7027 | ± | N/A | ||
| winogrande | 1 | none | 5 | acc | 0.5154 | ± | 0.0140 |