Updates args in tf squad example. (#4820)
Co-authored-by: Daniel Shan <daniel.shan@workday.com>
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@@ -165,17 +165,15 @@ Larger batch size may improve the performance while costing more memory.
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python run_tf_squad.py \
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python run_tf_squad.py \
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--model_name_or_path bert-base-uncased \
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--model_name_or_path bert-base-uncased \
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--output_dir model \
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--output_dir model \
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--max-seq-length 384 \
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--max_seq_length 384 \
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--num_train_epochs 2 \
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--num_train_epochs 2 \
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--per_gpu_train_batch_size 8 \
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--per_gpu_train_batch_size 8 \
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--per_gpu_eval_batch_size 16 \
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--per_gpu_eval_batch_size 16 \
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--do_train \
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--do_train \
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--logging_dir logs \
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--logging_dir logs \
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--mode question-answering \
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--logging_steps 10 \
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--logging_steps 10 \
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--learning_rate 3e-5 \
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--learning_rate 3e-5 \
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--doc_stride 128 \
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--doc_stride 128
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--optimizer_name adamw
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```
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```
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For the moment the evaluation is not available in the Tensorflow Trainer only the training.
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For the moment the evaluation is not available in the Tensorflow Trainer only the training.
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