You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
32 lines
1.2 KiB
32 lines
1.2 KiB
"""
|
|
This file contains deprecated code that can only be used with the old `model.fit`-style Sentence Transformers v2.X training.
|
|
It exists for backwards compatibility with the `model.old_fit` method, but will be removed in a future version.
|
|
|
|
Nowadays, with Sentence Transformers v3+, it is recommended to use the `SentenceTransformerTrainer` class to train models.
|
|
See https://www.sbert.net/docs/sentence_transformer/training_overview.html for more information.
|
|
|
|
Instead, you should create a `datasets` `Dataset` for training: https://huggingface.co/docs/datasets/create_dataset
|
|
"""
|
|
|
|
from __future__ import annotations
|
|
|
|
|
|
class InputExample:
|
|
"""Structure for one input example with texts, the label and a unique id"""
|
|
|
|
def __init__(self, guid: str = "", texts: list[str] | None = None, label: int | float = 0):
|
|
"""
|
|
Creates one InputExample with the given texts, guid and label
|
|
|
|
Args:
|
|
guid: id for the example
|
|
texts: the texts for the example.
|
|
label: the label for the example
|
|
"""
|
|
self.guid = guid
|
|
self.texts = texts
|
|
self.label = label
|
|
|
|
def __str__(self):
|
|
return "<InputExample> label: {}, texts: {}".format(str(self.label), "; ".join(self.texts))
|