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whisper-smol-tr-0704 – AI Model by C10X | AlphaNeural AI

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C10X/
whisper-smol-tr-0704

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automatic-speech-recognition

generated_from_trainer

mozilla-foundation/common_voice_12_0

openai/whisper-small

endpoints_compatible

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whisper-smol-tr-0704

This model is a fine-tuned version of openai/whisper-small on the Common Voice 12.0 dataset. It achieves the following results on the evaluation set:

eval_loss: 0.2730
eval_wer: 22.7800
eval_runtime: 3907.7199
eval_samples_per_second: 2.768
eval_steps_per_second: 0.173
epoch: 0.3833
step: 1000

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: 16
seed: 42
optimizer: Use OptimizerNames.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: 3000
mixed_precision_training: Native AMP

Framework versions

Transformers 4.51.1
Pytorch 2.6.0+cu124
Datasets 3.5.0
Tokenizers 0.21.1