From c99a2832edadd41b92c67988bb8f4c4b73629f47 Mon Sep 17 00:00:00 2001 From: Patrick von Platen Date: Mon, 25 Oct 2021 19:50:36 +0200 Subject: [PATCH] Update README.md --- examples/pytorch/speech-pretraining/README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/examples/pytorch/speech-pretraining/README.md b/examples/pytorch/speech-pretraining/README.md index ec413f95fe..ecbbce9f2b 100644 --- a/examples/pytorch/speech-pretraining/README.md +++ b/examples/pytorch/speech-pretraining/README.md @@ -114,7 +114,7 @@ The experiment was run on 8 GPU V100 (16 GB RAM each) for 4 days. In case you have more than 8 GPUs available for a higher effective `batch_size`, it is recommended to increase the `learning_rate` to `0.005` for faster convergence. -The results of this run can be seen [here](https://wandb.ai/patrickvonplaten/test/reports/Wav2Vec2-Base--VmlldzoxMTUyODQ0?accessToken=rg6e8u9yizx964k8q47zctq1m4afpvtn1i3qi9exgdmzip6xwkfzvagfajpzj55n) and the checkpoint pretrained for 120,000 steps can be accessed [here](https://huggingface.co/patrickvonplaten/wav2vec2-base-repro-960h-libri-85k-steps) +The results of this run can be seen [here](https://wandb.ai/patrickvonplaten/test/reports/Wav2Vec2-Base--VmlldzoxMTUyODQ0?accessToken=rg6e8u9yizx964k8q47zctq1m4afpvtn1i3qi9exgdmzip6xwkfzvagfajpzj55n) and the checkpoint pretrained for 85,000 steps can be accessed [here](https://huggingface.co/patrickvonplaten/wav2vec2-base-repro-960h-libri-85k-steps) ### Large