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whisper-large-v3 – AI Model by Awaz-e-Sehat | AlphaNeural AI

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Awaz-e-Sehat/
whisper-large-v3

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whisper-large-v3

This model is a fine-tuned version of openai/whisper-large-v3 on the None dataset. It achieves the following results on the evaluation set:

eval_loss: 3.8257
eval_runtime: 1.4346
eval_samples_per_second: 0.697
eval_steps_per_second: 0.697
epoch: 2.0
step: 142

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: 0.001
train_batch_size: 10
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: 50
num_epochs: 50
mixed_precision_training: Native AMP

Framework versions

PEFT 0.9.1.dev0
Transformers 4.38.2
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2