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# Copyright 2020 The HuggingFace 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. | |
export WANDB_PROJECT=distilbart-trainer | |
export BS=32 | |
export m=sshleifer/student_cnn_12_6 | |
export tok=facebook/bart-large | |
export MAX_TGT_LEN=142 | |
python finetune_trainer.py \ | |
--model_name_or_path $m --tokenizer_name $tok \ | |
--data_dir cnn_dm \ | |
--output_dir distilbart-cnn-12-6 --overwrite_output_dir \ | |
--learning_rate=3e-5 \ | |
--warmup_steps 500 --sortish_sampler \ | |
--fp16 \ | |
--n_val 500 \ | |
--gradient_accumulation_steps=1 \ | |
--per_device_train_batch_size=$BS --per_device_eval_batch_size=$BS \ | |
--freeze_encoder --freeze_embeds \ | |
--num_train_epochs=2 \ | |
--save_steps 3000 --eval_steps 3000 \ | |
--logging_first_step \ | |
--max_target_length 56 --val_max_target_length $MAX_TGT_LEN --test_max_target_length $MAX_TGT_LEN\ | |
--do_train --do_eval --do_predict \ | |
--evaluation_strategy steps \ | |
--predict_with_generate --sortish_sampler \ | |
"$@" | |