Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
whisper-tiny-en – AI Model by tranquil-morning | AlphaNeural AI
You can deploy this model and start earning money today!
tranquil-morning
/
whisper-tiny-en
like
0
transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
PolyAI/minds14
openai/whisper-tiny
finetune
apache-2.0
model-index
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
whisper-tiny-en
This model is a fine-tuned version of
openai/whisper-tiny
on the PolyAI/minds14 dataset. It achieves the following results on the evaluation set:
Loss: 0.6468
Wer Ortho: 0.2919
Wer: 0.2901
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: 23
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: constant_with_warmup
lr_scheduler_warmup_steps: 50
training_steps: 500
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer Ortho
Wer
0.0005
35.71
500
0.6468
0.2919
0.2901
Framework versions
Transformers 4.36.2
Pytorch 2.1.2+cu118
Datasets 2.16.1
Tokenizers 0.15.0
