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whisper-base-ru – AI Model by whitemouse84 | AlphaNeural AI
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
ru
mozilla-foundation/common_voice_16_0
openai/whisper-base
finetune
apache-2.0
model-index
endpoints_compatible
us
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Whisper Base Ru
This model is a fine-tuned version of
openai/whisper-base
on the Common Voice 16.0 dataset. It achieves the following results on the evaluation set:
Loss: 0.3411
Wer: 151.5562
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
0.3519
0.61
1000
0.3882
155.8949
0.2055
1.21
2000
0.3565
159.1748
0.2047
1.82
3000
0.3422
164.2338
0.1469
2.43
4000
0.3411
151.5562
Framework versions
Transformers 4.37.2
Pytorch 2.2.2
Datasets 2.18.0
Tokenizers 0.15.1
