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whisper-small-uzb-commonvoice – AI Model by blackhole33 | AlphaNeural AI
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whisper-small-uzb-commonvoice
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
uz-asr-leaderboard
generated_from_trainer
uz
common_voice_11_0
openai/whisper-small
finetune
apache-2.0
model-index
endpoints_compatible
us
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Whisper Small uz common voice
This model is a fine-tuned on the Common Voice dataset. It achieves the following results on the evaluation set:
Loss: 0.4867
Wer: 44.1679
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: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
training_steps: 1500
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.7832
0.13
500
0.7033
58.2757
0.6095
0.27
1000
0.5239
46.5073
0.5093
0.4
1500
0.4867
44.1679
Framework versions
Transformers 4.39.3
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2
