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wav2vec2-large-xls-r-300m-ch – AI Model by vu92 | AlphaNeural AI

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vu92/
wav2vec2-large-xls-r-300m-ch

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automatic-speech-recognition

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wav2vec2-large-xls-r-300m-ch

This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the fleurs dataset.

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 0.0003
train_batch_size: 4
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 30

Framework versions

Transformers 4.25.0.dev0
Pytorch 1.10.0+cu102
Datasets 2.6.1
Tokenizers 0.13.1