Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
whisper-en-tiny – AI Model by HamnaWaseem | AlphaNeural AI
You can deploy this model and start earning money today!
HamnaWaseem
/
whisper-en-tiny
like
0
transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
openai/whisper-tiny
finetune
apache-2.0
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
whisper-en-tiny
This model is a fine-tuned version of
openai/whisper-tiny
on the None dataset. It achieves the following results on the evaluation set:
Loss: 1.6202
Wer: 98.5737
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: 1
eval_batch_size: 1
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: 50
training_steps: 120
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
1.9492
1.0
60
2.1933
100.0
1.2332
2.0
120
1.6202
98.5737
Framework versions
Transformers 4.46.3
Pytorch 2.0.1+cu117
Datasets 2.12.0
Tokenizers 0.20.3
