Duino
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Disper-small-Salam

Automatic Speech Recognition

Generated from Trainer

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Duino STT

This model is a fine-tuned version of openai/whisper-small 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: 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: 4000
mixed_precision_training: Native AMP

Framework versions

Transformers 4.48.1
Pytorch 2.5.1+cu121
Datasets 3.2.0
Tokenizers 0.21.0

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Safetensors

Model size

0.2B params

Tensor type

F32

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Base model

openai/whisper-small

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Dataset used to train Duino/Disper-small-Salam