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Update README.md (#2)
Browse files- Update README.md (415055e3e5924a852f6ff44ac8195fe560e10b46)
- Update README.md (285dcfcfee0924093e43d766092e0be548ec83f9)
Co-authored-by: Adam Stachowicz <[email protected]>
README.md
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@@ -25,7 +25,7 @@ It is strongly recommended to train this model doing bf16 mixed-precision traini
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[Here](https://github.com/huggingface/optimum-habana/blob/main/examples/question-answering/run_qa.py) is a question-answering example script to fine-tune a model on SQuAD. You can run it with BERT with the following command:
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```bash
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python run_qa.py \
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--model_name_or_path bert-base-uncased \
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--gaudi_config_name Habana/bert-base-uncased \
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--dataset_name squad \
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@@ -38,7 +38,9 @@ python run_qa.py \
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--max_seq_length 384 \
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--output_dir /tmp/squad/ \
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--use_habana \
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--
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--throughput_warmup_steps 3 \
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--bf16
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```
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[Here](https://github.com/huggingface/optimum-habana/blob/main/examples/question-answering/run_qa.py) is a question-answering example script to fine-tune a model on SQuAD. You can run it with BERT with the following command:
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```bash
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PT_HPU_LAZY_MODE=0 python run_qa.py \
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--model_name_or_path bert-base-uncased \
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--gaudi_config_name Habana/bert-base-uncased \
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--dataset_name squad \
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--max_seq_length 384 \
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--output_dir /tmp/squad/ \
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--use_habana \
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--torch_compile_backend hpu_backend \
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--torch_compile \
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--use_lazy_mode false \
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--throughput_warmup_steps 3 \
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--bf16
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```
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