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whisper-Large-v3-hindi – AI Model by quinnb | AlphaNeural AI
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quinnb
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whisper-Large-v3-hindi
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
hi
mozilla-foundation/common_voice_17_0
quinnb/whisper-Large-v3-hindi
finetune
apache-2.0
endpoints_compatible
us
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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 Common Voice 17.0 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: 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: 500
training_steps: 2000
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
