BART finetuning for summarization without seq2seq trainer
Hello, I am looking for an example code for BART finetuning with huggingface (not fairseq) without the seq2seq trainerAny guidance here?
2022-10-31T08:19:40Z
Maybe you can tgry this one:github.comhuggingface/transformers/blob/main/examples/pytorch/summarization/run_summarization_no_trainer.py#!/usr/bin/env python
# coding=utf-8
# Copyright The HuggingFace Team and The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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"""
Fine-tuning a 🤗 Transformers model on summarization.
"""
# You can also adapt this script on your own summarization task. Pointers for this are left as comments.This file has been truncated.show original