BART finetuning for summarization without seq2seq trainer

mse30 · October 29, 2022, 4:31pm

Hello, I am looking for an example code for BART finetuning with huggingface (not fairseq) without the seq2seq trainer
Any guidance here?

thies · October 31, 2022, 8:19am

Maybe you can tgry this one:

github.com

huggingface/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.
# See the License for the specific language governing permissions and
# limitations under the License.
"""
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.

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BART finetuning for summarization without seq2seq trainer

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