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whisper-tiny-russian-dysarthria – AI Model by qymyz | AlphaNeural AI
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whisper-tiny-russian-dysarthria
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
openai/whisper-medium
finetune
apache-2.0
endpoints_compatible
us
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whisper-tiny-russian-dysarthria
This model is a fine-tuned version of
openai/whisper-medium
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.2158
Wer: 9.1029
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: 16
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: 3000
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.0115
10.0
1000
0.2137
11.1478
0.0026
20.0
2000
0.2176
10.3562
0.0027
30.0
3000
0.2158
9.1029
Framework versions
Transformers 4.42.3
Pytorch 2.3.0+cu121
Tokenizers 0.19.1
