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wav2vec2-XLS-R-300m-konkani – AI Model by StephennFernandes | AlphaNeural AI
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StephennFernandes
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wav2vec2-XLS-R-300m-konkani
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transformers
pytorch
wav2vec2
automatic-speech-recognition
endpoints_compatible
us
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tags:
automatic-speech-recognition
robust-speech-event
This model is a fine-tuned version of
facebook/wav2vec2-xls-r-300m
on a private dataset. It achieves the following results on the evaluation set:
The following hyper-parameters were used during training:
learning_rate: 3e-4
train_batch_size: 32
eval_batch_size: 16
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 128
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 800
num_epochs: 30
mixed_precision_training: Native AMP
