various updates to conversion, models and examples
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@@ -1394,7 +1394,7 @@ The data for SWAG can be downloaded by cloning the following [repository](https:
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```shell
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export SWAG_DIR=/path/to/SWAG
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python run_swag.py \
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python run_bert_swag.py \
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--bert_model bert-base-uncased \
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--do_train \
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--do_lower_case \
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@@ -1581,7 +1581,6 @@ python run_xlnet_classifier.py \
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--task_name STS-B \
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--do_train \
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--do_eval \
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--do_lower_case \
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--data_dir $GLUE_DIR/STS-B/ \
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--max_seq_length 128 \
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--train_batch_size 8 \
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