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wav2vec2_large_xlsr_persian_cv – AI Model by SeyedHosseini360 | AlphaNeural AI

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SeyedHosseini360/
wav2vec2_large_xlsr_persian_cv

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0

automatic-speech-recognition

generated_from_trainer

common_voice_16_0

facebook/wav2vec2-large-xlsr-53

endpoints_compatible

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wav2vec2_large_xlsr_persian_cv

This model is a fine-tuned version of facebook/wav2vec2-large-xlsr-53 on the common_voice_16_0 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: 0.0001
train_batch_size: 10
eval_batch_size: 10
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 20
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 0.5
mixed_precision_training: Native AMP

Framework versions

Transformers 4.42.4
Pytorch 2.3.1+cu121
Datasets 2.20.0
Tokenizers 0.19.1