Merge branch 'master' of github.com:kubapok/ireland-news
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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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@ -1,15 +1,19 @@
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python run_summarization.py \
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python run_summarization.py \
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--model_name_or_path t5-base \
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--model_name_or_path google/t5-v1_1-base \
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--do_train \
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--do_train \
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--train_file ../train/huggingface_format.csv \
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--train_file ../train/huggingface_format.csv \
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--validation_file ../dev-0/huggingface_format.csv \
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--validation_file ../dev-0/huggingface_format_short.csv \
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--source_prefix "classify: " \
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--source_prefix "classify: " \
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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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--gradient_accumulation_steps=4 \
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--overwrite_output_dir \
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--overwrite_output_dir \
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--predict_with_generate \
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--predict_with_generate \
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--save_steps=10000 \
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--save_steps=10000 \
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--eval_steps=10000 \
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--evaluation_strategy steps
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test-A/out.tsv
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test-A/out.tsv
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