Beta
Explore
Marketplace
Neural Labs
Playground
Wallet
Docs
whisper-small-sber-v4 – AI Model by Zhandos38 | AlphaNeural AI
You can deploy this model and start earning money today!
Zhandos38
/
whisper-small-sber-v4
like
0
transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
openai/whisper-small
finetune
apache-2.0
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
whisper-small-sber-v4
This model is a fine-tuned version of
openai/whisper-small
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.3522
Wer: 22.1427
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: 0.0001
train_batch_size: 32
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: 4000
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.1636
1.33
1000
0.4798
31.6750
0.0691
2.67
2000
0.4455
30.3746
0.0212
4.0
3000
0.3982
26.7478
0.0014
5.33
4000
0.3522
22.1427
Framework versions
Transformers 4.36.2
Pytorch 1.14.0a0+44dac51
Datasets 2.16.1
Tokenizers 0.15.0
