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update readme
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efficientdet/README.md

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@@ -319,7 +319,7 @@ Finetune needs to use --ckpt rather than --backbone_ckpt.
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--train_batch_size=64 \
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--eval_batch_size=64 --eval_samples=1024 \
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--num_examples_per_epoch=5717 --num_epochs=50 \
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--hparams=voc_config.yaml
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--hparams=voc_config.yaml --val_json_file=tfrecord/json_pascal.json
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If you want to continue to train the model, simply re-run the above command because the `num_epochs` is a maximum number of epochs. For example, to reproduce the result of efficientdet-d0, set `--num_epochs=300` then run the command multiple times until the training is finished.
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efficientdet/tf2/README.md

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@@ -254,7 +254,7 @@ Finetune needs to use --pretrained_ckpt.
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--batch_size=64 \
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--eval_samples=1024 \
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--num_examples_per_epoch=5717 --num_epochs=50 \
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--hparams=voc_config.yaml
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--hparams=voc_config.yaml --val_json_file=tfrecord/json_pascal.json
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If you want to continue to train the model, simply re-run the above command because the `num_epochs` is a maximum number of epochs. For example, to reproduce the result of efficientdet-d0, set `--num_epochs=300` then run the command multiple times until the training is finished.
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