* Evaluation Notebook: https://colab.research.google.com/drive/1dV1Z3WajMCYMjNZab98CEEcg3FTbtONO?usp=sharing
* Training Code: https://github.com/vasudevgupta7/speech-jax/blob/main/projects/finetune_wav2vec2.py
* Weights & Biases: https://wandb.ai/7vasudevgupta/speech-JAX?workspace=user-7vasudevgupta

Following results are obtained with `23ffe236840b7f75c9f01a9c347b01485a2bf9f6` & `95c3bc1b83c74452df29f792e0b5651c09fdaeb9`

| dataset | WER                  | 
|------------------------|-------|
| Librispeech-test-clean | 3.3 % |
{}
transformers jax wav2vec2 automatic-speech-recognition endpoints_compatible region:us
TAGS
#transformers #jax #wav2vec2 #automatic-speech-recognition #endpoints_compatible #region-us 

* Evaluation Notebook: URL
* Training Code: URL
* Weights & Biases: URL


Following results are obtained with '23ffe236840b7f75c9f01a9c347b01485a2bf9f6' & '95c3bc1b83c74452df29f792e0b5651c09fdaeb9'




TAGS
#transformers #jax #wav2vec2 #automatic-speech-recognition #endpoints_compatible #region-us 

passage: TAGS
#transformers #jax #wav2vec2 #automatic-speech-recognition #endpoints_compatible #region-us 
