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whisper-small-dv – AI Model by Nurmukhammad1993 | AlphaNeural AI
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tensorboard
safetensors
whisper
generated_from_trainer
uz
mozilla-foundation/common_voice_13_0
openai/whisper-small
finetune
apache-2.0
model-index
us
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Whisper Small Uz - Nurmuhammad Abdul-Qodir
This model is a fine-tuned version of
openai/whisper-small
on the Common Voice 13 dataset. It achieves the following results on the evaluation set:
Loss: 0.6019
Wer Ortho: 54.3531
Wer: 45.2014
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
Training results
Training Loss
Epoch
Step
Validation Loss
Wer Ortho
Wer
0.6795
0.1326
500
0.6019
54.3531
45.2014
Framework versions
Transformers 4.41.2
Pytorch 2.5.1+cu121
Datasets 3.6.0
Tokenizers 0.19.1
