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whisper-tiny-ru – AI Model by whitemouse84 | AlphaNeural AI
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whisper-tiny-ru
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
ru
mozilla-foundation/common_voice_14_0
openai/whisper-tiny
finetune
apache-2.0
model-index
endpoints_compatible
us
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Whisper Tiny Ru
This model is a fine-tuned version of
openai/whisper-tiny
on the Common Voice 14.0 dataset. It achieves the following results on the evaluation set:
Loss: 0.4739
Wer: 188.7957
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
0.464
0.61
1000
0.5444
201.0197
0.3774
1.22
2000
0.5003
180.8949
0.3566
1.82
3000
0.4796
195.6722
0.2962
2.43
4000
0.4739
188.7957
Framework versions
Transformers 4.37.2
Pytorch 2.2.2
Datasets 2.18.0
Tokenizers 0.15.1
