Erfan97
/

whisper-tiny_fa_fleur

Automatic Speech Recognition

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Erfan97/whisper-tiny_fa_fleurs

This model is a fine-tuned version of hajar817/whisper_tiny_fa_cv13 on the google/fleurs 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: 6.15044e-05
train_batch_size: 16
eval_batch_size: 8
seed: 42
optimizer: Use 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: 500
training_steps: 6000
mixed_precision_training: Native AMP

Framework versions

Transformers 4.47.1
Pytorch 2.5.1+cu121
Tokenizers 0.21.0

Downloads last month: 3

Safetensors

Model size

37.8M params

Tensor type

F32

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Base model

hajar817/whisper_tiny_fa_cv13

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Dataset used to train Erfan97/whisper-tiny_fa_fleur