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whisper-Large-v3-hindi-customData – AI Model by quinnb | AlphaNeural AI

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quinnb/
whisper-Large-v3-hindi-customData

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automatic-speech-recognition

generated_from_trainer

mozilla-foundation/common_voice_17_0

quinnb/whisper-Large-v3-hindi

endpoints_compatible

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Whisper Large v3 Trained on Hindi

This model is a fine-tuned version of quinnb/whisper-Large-v3-hindi on the Custom Hindi dataset 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: 1e-05
train_batch_size: 1
eval_batch_size: 16
seed: 42
distributed_type: multi-GPU
num_devices: 4
gradient_accumulation_steps: 16
total_train_batch_size: 64
total_eval_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 250
training_steps: 500
mixed_precision_training: Native AMP

Training results

Framework versions

Transformers 4.41.1
Pytorch 1.11.0+cu102
Datasets 2.19.1
Tokenizers 0.19.1