t5 v1.1. 5.93 epochs
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dev-0/out.tsv
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dev-0/out.tsv
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@ -4,7 +4,7 @@ from tqdm import tqdm
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from config import LABELS_LIST
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from config import LABELS_LIST
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device = 'cuda'
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device = 'cuda'
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model_path= 't5-retrained'
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model_path= 't5-retrained/checkpoint-110000'
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from transformers import AutoModelForSequenceClassification
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from transformers import AutoModelForSequenceClassification
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@ -7,6 +7,7 @@ python run_summarization.py \
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--summary_column 'label' \
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--summary_column 'label' \
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--max_target_length=4 \
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--max_target_length=4 \
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--max_source_length=64 \
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--max_source_length=64 \
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--num_train_epochs 20 \
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--output_dir ./t5-retrained \
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--output_dir ./t5-retrained \
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--per_device_train_batch_size=16 \
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--per_device_train_batch_size=16 \
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--per_device_eval_batch_size=16 \
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--per_device_eval_batch_size=16 \
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test-A/out.tsv
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test-A/out.tsv
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