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wav2vec2-base-demo – AI Model by thanhduycao | AlphaNeural AI

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thanhduycao/
wav2vec2-base-demo

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automatic-speech-recognition

generated_from_trainer

nguyenvulebinh/wav2vec2-base-vietnamese-250h

endpoints_compatible

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wav2vec2-base-demo

This model is a fine-tuned version of nguyenvulebinh/wav2vec2-base-vietnamese-250h on the None dataset. It achieves the following results on the evaluation set:

eval_loss: 0.2910
eval_wer: 0.1917
eval_runtime: 35.2532
eval_samples_per_second: 21.218
eval_steps_per_second: 2.666
epoch: 21.33
step: 4500

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: 8e-06
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: 500
num_epochs: 30

Framework versions

Transformers 4.33.0.dev0
Pytorch 2.0.1+cu118
Datasets 2.14.4.dev0
Tokenizers 0.13.3