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ASR_Ascend_Wav2Vec2_Bert

Automatic Speech Recognition

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ASR_Ascend_Wav2Vec2_Bert

This model is a fine-tuned version of facebook/w2v-bert-2.0 on an unknown 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: 0.0005
train_batch_size: 16
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 32
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 4
mixed_precision_training: Native AMP

Training results

Framework versions

Transformers 5.0.0
Pytorch 2.9.0+cu126
Datasets 3.6.0
Tokenizers 0.22.2

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Safetensors

Model size

0.6B params

Tensor type

F32

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facebook/w2v-bert-2.0

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