update results for SQuAD
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@@ -184,18 +184,19 @@ python run_squad.py \
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--bert_config_file $BERT_BASE_DIR/bert_config.json \
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--init_checkpoint $BERT_PYTORCH_DIR/pytorch_model.bin \
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--do_train \
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--train_file $SQUAD_DIR/train-v1.1.json \
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--do_predict \
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--do_lower_case
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--train_file $SQUAD_DIR/train-v1.1.json \
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--predict_file $SQUAD_DIR/dev-v1.1.json \
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--train_batch_size 12 \
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--learning_rate 5e-5 \
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--learning_rate 3e-5 \
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--num_train_epochs 2.0 \
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--max_seq_length 384 \
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--doc_stride 128 \
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--output_dir ../debug_squad/
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```
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Training with the previous hyper-parameters and a batch size 32 (on 4 GPUs) for 2 epochs gave us the following results:
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Training with the previous hyper-parameters gave us the following results:
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```bash
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{"f1": 88.19829549714827, "exact_match": 80.75685903500474}
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{"f1": 88.52381567990474, "exact_match": 81.22043519394512}
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```
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