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Update pretrained checkpoint links #660

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szmigacz merged 2 commits into from
Aug 21, 2020
Merged

Update pretrained checkpoint links #660

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e8f3a1b
Update pretrained checkpoint links
sharathts Aug 21, 2020
4708faa
update link
sharathts Aug 21, 2020
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2 changes: 1 addition & 1 deletion PyTorch/LanguageModeling/BERT/README.md
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Expand Up @@ -245,7 +245,7 @@ To train your model using mixed or TF32 precision with Tensor Cores or using FP3

2. Download the NVIDIA pretrained checkpoint.

If you want to use a pre-trained checkpoint, visit [NGC](https://ngc.nvidia.com/catalog/models/nvidia:bert_large_pyt_amp_ckpt_pretraining_lamb). This downloaded checkpoint is used to fine-tune on SQuAD. Ensure you unzip the downloaded file and place the checkpoint in the `checkpoints/` folder. For a checkpoint already fine-tuned for QA on SQuAD v1.1 visit [NGC](https://ngc.nvidia.com/catalog/models/nvidia:bert_large_pyt_amp_ckpt_squad_qa1_1).
If you want to use a pre-trained checkpoint, visit [NGC](https://ngc.nvidia.com/catalog/models/nvidia:bert_pyt_ckpt_large_pretraining_amp_lamb/files). This downloaded checkpoint is used to fine-tune on SQuAD. Ensure you unzip the downloaded file and place the checkpoint in the `checkpoints/` folder. For a checkpoint already fine-tuned for QA on SQuAD v1.1 visit [NGC](https://ngc.nvidia.com/catalog/models/nvidia:bert_pyt_ckpt_large_qa_squad11_amp/files).

3. Build BERT on top of the NGC container.
`bash scripts/docker/build.sh`
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