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whisper-small-linkdata – AI Model by IbratDO | AlphaNeural AI
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whisper-small-linkdata
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
uz
uzbekvoice-1k
openai/whisper-small
finetune
apache-2.0
model-index
endpoints_compatible
us
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Whisper Small UZ - Link Data
This model is a fine-tuned version of
openai/whisper-small
on the UzbekVoice 1K Row dataset. It achieves the following results on the evaluation set:
Loss: 0.8197
Wer: 68.5714
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: 4
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 16
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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: 50
training_steps: 200
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
1.4506
1.0
50
1.1262
79.8413
0.7509
2.0
100
0.8611
70.3175
0.3845
3.0
150
0.8157
68.2540
0.2639
4.0
200
0.8197
68.5714
Framework versions
Transformers 4.57.0
Pytorch 2.8.0+cu126
Datasets 4.1.1
Tokenizers 0.22.1
