[Wav2Vec2 Speech Event] Add speech event v2 (#15083)
* up * up * up * up * up * up * improve * up * up * Update src/transformers/trainer.py * up * up * up
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**NOTE**: This example is outdated and is not longer actively maintained. Please
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follow the new instructions of fine-tuning Wav2Vec2 [here](https://github.com/huggingface/transformers/blob/master/examples/pytorch/speech-recognition/README.md)
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## Fine-tuning Wav2Vec2
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The `run_asr.py` script allows one to fine-tune pretrained Wav2Vec2 models that can be found [here](https://huggingface.co/models?search=facebook/wav2vec2).
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This finetuning script can also be run as a google colab [TODO: here]( ).
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The script is actively maintained by [Patrick von Platen](https://github.com/patrickvonplaten).
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Feel free to ask a question on the [Forum](https://discuss.huggingface.co/) or post an issue on [GitHub](https://github.com/huggingface/transformers/issues/new/choose) and adding `@patrickvonplaten` as a tag.
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### Fine-Tuning with TIMIT
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Let's take a look at the [script](./finetune_base_timit_asr.sh) used to fine-tune [wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base)
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with the [TIMIT dataset](https://huggingface.co/datasets/timit_asr):
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