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whisper-small-ruV4 – AI Model by ElderlyDed | AlphaNeural AI
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whisper-small-ruV4
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
ru
ElderlyDed/yesnoRUv3
ElderlyDed/whisper-small-ru
finetune
apache-2.0
model-index
endpoints_compatible
us
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Whisper Small Ru V4
This model is a fine-tuned version of
ElderlyDed/whisper-small-ru
on the yesnoRUv3 dataset. It achieves the following results on the evaluation set:
Loss: 0.2910
Wer: 20.9436
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: 8
seed: 42
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
0.0
6.5359
1000
0.2644
19.3050
0.0
13.0719
2000
0.2837
20.6384
0.0
19.6078
3000
0.2892
20.8569
0.0
26.1438
4000
0.2910
20.9436
Framework versions
Transformers 4.46.3
Pytorch 2.5.1+cu121
Datasets 3.1.0
Tokenizers 0.20.3