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wav2vec2-base-960h-finetuned_common_voice2 – AI Model by obokkkk | AlphaNeural AI

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obokkkk/
wav2vec2-base-960h-finetuned_common_voice2

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automatic-speech-recognition

generated_from_trainer

endpoints_compatible

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wav2vec2-base-960h-finetuned_common_voice2

This model is a fine-tuned version of facebook/wav2vec2-base-960h on the None 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: 0.001
train_batch_size: 16
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 64
total_train_batch_size: 1024
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 1000
num_epochs: 30
mixed_precision_training: Native AMP

Training results

Framework versions

Transformers 4.18.0
Pytorch 1.11.0+cu113
Datasets 2.1.0
Tokenizers 0.12.1