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whisper-small-dv – AI Model by Sammau | AlphaNeural AI

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Sammau/
whisper-small-dv

like

0

automatic-speech-recognition

generated_from_trainer

common_voice_17_0

openai/whisper-small

endpoints_compatible

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whisper-small-dv

This model is a fine-tuned version of openai/whisper-small on the common_voice_17_0 dataset. It achieves the following results on the evaluation set:

eval_loss: 0.1751
eval_wer_ortho: 64.0578
eval_wer: 13.6539
eval_runtime: 1397.0466
eval_samples_per_second: 1.585
eval_steps_per_second: 0.099
epoch: 1.63
step: 500

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: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: constant_with_warmup
lr_scheduler_warmup_steps: 50
training_steps: 500
mixed_precision_training: Native AMP

Framework versions

Transformers 4.28.1
Pytorch 2.6.0+cu124
Datasets 3.6.0
Tokenizers 0.13.3