# finetuned-wav2vec2-960h

This model was trained as a part of my **GSoC'21 (Google Summer of Code)** project. It is fine-tuned on 960h of **LibriSpeech dataset** (`train-clean-100`, `train-clean-360`, `train-other-500`) and evaluated on `test-clean` data.

| WER (word error rate) | 5.67 |
|-----------------------|------|

You can find code for training here: https://github.com/vasudevgupta7/gsoc-wav2vec2.
{}
transformers tf endpoints_compatible region:us
TAGS
#transformers #tf #endpoints_compatible #region-us 

finetuned-wav2vec2-960h
=======================


This model was trained as a part of my GSoC'21 (Google Summer of Code) project. It is fine-tuned on 960h of LibriSpeech dataset ('train-clean-100', 'train-clean-360', 'train-other-500') and evaluated on 'test-clean' data.



You can find code for training here: URL



TAGS
#transformers #tf #endpoints_compatible #region-us 

passage: TAGS
#transformers #tf #endpoints_compatible #region-us 
