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wav2vec2-xls-r-300m-bangla-command-generated-data-finetune – AI Model by hrdipto | AlphaNeural AI
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hrdipto
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wav2vec2-xls-r-300m-bangla-command-generated-data-finetune
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transformers
pytorch
tensorboard
wav2vec2
automatic-speech-recognition
generated_from_trainer
endpoints_compatible
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wav2vec2-xls-r-300m-bangla-command-generated-data-finetune
This model is a fine-tuned version of
hrdipto/wav2vec2-xls-r-300m-bangla-command-data
on the None dataset. It achieves the following results on the evaluation set:
eval_loss: 0.0099
eval_wer: 0.0208
eval_runtime: 2.5526
eval_samples_per_second: 75.217
eval_steps_per_second: 9.402
epoch: 71.43
step: 2000
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: 0.0001
train_batch_size: 32
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 1000
num_epochs: 100
mixed_precision_training: Native AMP
Framework versions
Transformers 4.16.2
Pytorch 1.10.0+cu111
Datasets 1.18.3
Tokenizers 0.11.0
