45 lines
1.2 KiB
Markdown
45 lines
1.2 KiB
Markdown
This model is [BERT base uncased](https://huggingface.co/bert-base-uncased) trained on SQuAD v2 as:
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```
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export SQUAD_DIR=../../squad2
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python3 run_squad.py
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--model_type bert
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--model_name_or_path bert-base-uncased
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--do_train
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--do_eval
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--overwrite_cache
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--do_lower_case
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--version_2_with_negative
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--save_steps 100000
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--train_file $SQUAD_DIR/train-v2.0.json
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--predict_file $SQUAD_DIR/dev-v2.0.json
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--per_gpu_train_batch_size 8
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--num_train_epochs 3
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--learning_rate 3e-5
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--max_seq_length 384
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--doc_stride 128
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--output_dir ./tmp/bert_fine_tuned/
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```
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Performance on a dev subset is close to the original paper:
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```
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Results:
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{
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'exact': 72.35932872655479,
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'f1': 75.75355132564763,
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'total': 6078,
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'HasAns_exact': 74.29553264604812,
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'HasAns_f1': 81.38490892002987,
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'HasAns_total': 2910,
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'NoAns_exact': 70.58080808080808,
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'NoAns_f1': 70.58080808080808,
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'NoAns_total': 3168,
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'best_exact': 72.35932872655479,
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'best_exact_thresh': 0.0,
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'best_f1': 75.75355132564766,
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'best_f1_thresh': 0.0
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}
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```
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We are hopeful this might save you time, energy, and compute. Cheers! |