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wav2vec2-base-urdu-commonvoice-google-colab – AI Model by babark | AlphaNeural AI

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babark/
wav2vec2-base-urdu-commonvoice-google-colab

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wav2vec2-base-urdu-commonvoice-google-colab

This model is a fine-tuned version of facebook/wav2vec2-large on the None dataset. It achieves the following results on the evaluation set:

eval_loss: 1.4217
eval_wer: 0.7946
eval_runtime: 53.8128
eval_samples_per_second: 18.583
eval_steps_per_second: 2.323
epoch: 18.38
step: 5000

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: 8
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: 25
mixed_precision_training: Native AMP

Framework versions

Transformers 4.17.0
Pytorch 1.13.0+cu116
Datasets 1.18.3
Tokenizers 0.13.2