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whisper-small-ru-other – AI Model by Dok-tor | AlphaNeural AI
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whisper-small-ru-other
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
ru
mozilla-foundation/common_voice_11_0
openai/whisper-small
finetune
apache-2.0
model-index
endpoints_compatible
us
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Whisper Small Ru other
This model is a fine-tuned version of
openai/whisper-small
on the Common Voice 11.0 dataset. It achieves the following results on the evaluation set:
Loss: 0.2081
Wer: 15.3487
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
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
0.178
0.9479
1000
0.1979
16.3720
0.0963
1.8957
2000
0.1937
15.7016
0.0279
2.8436
3000
0.2003
15.2364
0.015
3.7915
4000
0.2081
15.3487
Framework versions
Transformers 4.45.1
Pytorch 2.4.1+cu124
Datasets 3.0.1
Tokenizers 0.20.0
