Create README.md

README.md

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+Fine-tuning of `wav2vec2-base` on 100h of Librispeech training data. Results on "clean" data are very similar to the ones of the [official model](https://huggingface.co/facebook/wav2vec2-base-100h). However, the result on "other" is significantly worse - the model seems to have overfitting to the "clean" data.
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+Model was trained on *librispeech-clean-train.100* with following hyper-parameters:
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+- 2 GPUs Titan RTX
+- Total update steps 13000
+- Batch size per GPU: 32 corresponding to a *total batch size* of ca. ~1500 seconds
+- Adam with linear decaying learning rate with 3000 warmup steps
+- dynamic grouping for batch
+- fp16
+- attention_mask was **not** used during training
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+Check: https://wandb.ai/patrickvonplaten/huggingface/reports/Project-Dashboard--Vmlldzo1MDI2MTU?accessToken=69z0mrkoxs1msgh71p4nntr9shi6mll8rhtbo6c56yynygw0scp11d8z9o1xd0uk
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+*Result (WER)* on Librispeech test:
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+| "clean" | "other" |
+|---|---|
+| 6.5 | 18.7 |