Comments (3)
Hi, I think the experiments for T5-base in the paper we're using 4 GPUs.
Can you try the following on a single GPU? It works for me on the first checkpoint saved.
CUDA_VISIBLE_DEVICES=0 python examples/pytorch/summarization/run_summarization.py
--model_name_or_path t5-base
--do_train
--do_predict
--train_file "$DATA_DIR/train.json"
--validation_file "$DATA_DIR/dev.json"
--test_file "$DATA_DIR/test.json"
--source_prefix ""
--output_dir "$OUTPUT_DIR/t5-base-mwoz2.2"
--per_device_train_batch_size=2
--per_device_eval_batch_size=2
--predict_with_generate
--text_column="dialogue"
--summary_column="state"
--save_steps=50000
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Thank you for your suggestion! I will have a try :)
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Let me know if you have other questions! Closing this issue for now
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Related Issues (9)
- Hope for the code HOT 1
- Is there any schedule for the code release? HOT 1
- is there any plan to release the code for preprocess data or preprocessed data? HOT 7
- To confirm 2 questions made me confused in the paper. HOT 2
- Questions on preprocessing data HOT 5
- Sequential Decoding Request.
- Is there custom `Schema.json` for MultiWOZ? HOT 1
- On reproducing the experiment results in paper HOT 1
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