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Update README.md

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Patrick von Platen
2021-09-24 18:53:58 +02:00
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examples/pytorch/speech-recognition/README.md
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@@ -30,8 +30,8 @@ In the script [`run_speech_recognition_ctc`], we first create a vocabulary from
--- ---
**NOTE** **NOTE**
If you wish to use multi-processing for data preprocessing by setting `--preprocessing_num_workers` > 1, If you encounter problems with data preprocessing by setting `--preprocessing_num_workers` > 1,
please make sure to set the environment variable `OMP_NUM_THREADS` to 1 as follows: you might want to set the environment variable `OMP_NUM_THREADS` to 1 as follows:
```bash ```bash
OMP_NUM_THREADS=1 python run_speech_recognition_ctc ... OMP_NUM_THREADS=1 python run_speech_recognition_ctc ...
@@ -81,7 +81,7 @@ of **0.35**.
The following command shows how to fine-tune [XLSR-Wav2Vec2](https://huggingface.co/transformers/master/model_doc/xlsr_wav2vec2.html) on [Common Voice](https://huggingface.co/datasets/common_voice) using 8 GPUs in half-precision. The following command shows how to fine-tune [XLSR-Wav2Vec2](https://huggingface.co/transformers/master/model_doc/xlsr_wav2vec2.html) on [Common Voice](https://huggingface.co/datasets/common_voice) using 8 GPUs in half-precision.
```bash ```bash
OMP_NUM_THREADS=1 python -m torch.distributed.launch \ python -m torch.distributed.launch \
--nproc_per_node 8 run_speech_recognition_ctc.py \ --nproc_per_node 8 run_speech_recognition_ctc.py \
--dataset_name="common_voice" \ --dataset_name="common_voice" \
--model_name_or_path="facebook/wav2vec2-large-xlsr-53" \ --model_name_or_path="facebook/wav2vec2-large-xlsr-53" \