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wav2vec2-kashmiri-jhon-data-one – AI Model by Muzaffar786 | AlphaNeural AI

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Muzaffar786/
wav2vec2-kashmiri-jhon-data-one

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automatic-speech-recognition

generated_from_trainer

facebook/wav2vec2-large-xlsr-53

endpoints_compatible

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wav2vec2-kashmiri-jhon-data-one

This model is a fine-tuned version of facebook/wav2vec2-large-xlsr-53 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: 0.0003
train_batch_size: 2
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 4
optimizer: Use OptimizerNames.ADAMW_TORCH 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: 50
num_epochs: 20
mixed_precision_training: Native AMP

Framework versions

Transformers 4.48.3
Pytorch 2.5.1+cu124
Datasets 3.3.1
Tokenizers 0.21.0