metadata
license: bigscience-openrail-m
widget:
- text: I am totally a human, trust me bro.
example_title: default
- text: >-
In Finnish folklore, all places and things, and also human beings, have a
haltija (a genius, guardian spirit) of their own. One such haltija is
called etiäinen—an image, doppelgänger, or just an impression that goes
ahead of a person, doing things the person in question later does. For
example, people waiting at home might hear the door close or even see a
shadow or a silhouette, only to realize that no one has yet arrived.
Etiäinen can also refer to some kind of a feeling that something is going
to happen. Sometimes it could, for example, warn of a bad year coming. In
modern Finnish, the term has detached from its shamanistic origins and
refers to premonition. Unlike clairvoyance, divination, and similar
practices, etiäiset (plural) are spontaneous and can't be induced. Quite
the opposite, they may be unwanted and cause anxiety, like ghosts.
Etiäiset need not be too dramatic and may concern everyday events,
although ones related to e.g. deaths are common. As these phenomena are
still reported today, they can be considered a living tradition, as a way
to explain the psychological experience of premonition.
example_title: real1
- text: >-
In Finnish folklore, all places and things, animate or inanimate, have a
spirit or "etiäinen" that lives there. Etiäinen can manifest in many
forms, but is usually described as a kind, elderly woman with white hair.
She is the guardian of natural places and often helps people in need.
Etiäinen has been a part of Finnish culture for centuries and is still
widely believed in today. Folklorists study etiäinen to understand Finnish
traditions and how they have changed over time.
example_title: generated1
datasets:
- NicolaiSivesind/human-vs-machine
language:
- en
pipeline_tag: text-classification
tags:
- mgt-detection
- ai-detection
metrics:
- type: accuracy
value: 0.973
- type: precision
value: 1
- type: recall
value: 0.945
- type: f1
value: 0.972
The hosted inference here, for some reason, does not work. It seems like this is because the hosted inference ignores the attention-mask when doing predictions. It works with pipelines however, and when including attention-mask in the model, e.g. **encodings.
This is a text classification for detecting machine-generated text based on the bloomz-560m by BigScience (see https://huggingface.co/bigscience/bloomz-560m). The model is fine-tuned on generations by GPT-2.
NOTE: the hosted inference does not work. To do inference, please download the model to perform inference.
NOTE: when not using the attention-head in the predictions, the predictions will be wrong.