44 lines
1.2 KiB
Markdown
44 lines
1.2 KiB
Markdown
This model is [Distilroberta base](https://huggingface.co/distilroberta-base) 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 robberta
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--model_name_or_path distilroberta-base
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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/distilroberta_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': 70.9279368213228,
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'f1': 74.60439802429168,
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'total': 6078,
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'HasAns_exact': 67.62886597938144,
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'HasAns_f1': 75.30774267754136,
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'HasAns_total': 2910,
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'NoAns_exact': 73.95833333333333,
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'NoAns_f1': 73.95833333333333, 'NoAns_total': 3168,
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'best_exact': 70.94438960184272,
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'best_exact_thresh': 0.0,
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'best_f1': 74.62085080481161,
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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! |