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whisper-small-ru-v14tsb – AI Model by constantinedivis | AlphaNeural AI
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constantinedivis
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whisper-small-ru-v14tsb
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
constantinedivis/whisper-small-ru-v14tsb
finetune
apache-2.0
endpoints_compatible
us
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whisper-small-ru-v14tsb
This model is a fine-tuned version of
constantinedivis/whisper-small-ru-v14tsb
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.1003
Wer: 8.8926
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: 32
eval_batch_size: 32
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: 400
training_steps: 1000
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.0538
0.1916
200
0.1289
11.2867
0.0401
0.3831
400
0.1276
10.6498
0.0729
0.5747
600
0.1237
10.6616
0.1103
0.7663
800
0.1056
9.4587
0.1032
0.9579
1000
0.1003
8.8926
Framework versions
Transformers 4.49.0
Pytorch 2.1.0+cu118
Datasets 3.3.2
Tokenizers 0.21.0
