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whisper-medium-uzbek-ynv1 – AI Model by Yorkinjon | AlphaNeural AI
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Yorkinjon
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whisper-medium-uzbek-ynv1
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
uz
mozilla-foundation/common_voice_17_0
openai/whisper-medium
finetune
apache-2.0
model-index
endpoints_compatible
us
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Whisper medium uz - Yorkerdev
This model is a fine-tuned version of
openai/whisper-medium
on the Common Voice 17.0 dataset. It achieves the following results on the evaluation set:
Loss: 0.3029
Wer: 30.0042
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: 2
eval_batch_size: 2
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 16
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
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.4938
0.2640
1000
0.4440
39.7007
0.3856
0.5280
2000
0.3592
33.4303
0.3381
0.7919
3000
0.3203
31.1263
0.2389
1.0557
4000
0.3029
30.0042
Framework versions
Transformers 4.49.0
Pytorch 2.6.0+cu118
Datasets 3.3.2
Tokenizers 0.21.0
