Beta
Explore
Marketplace
Neural Labs
Playground
Wallet
Docs
whisper-tiny-english – AI Model by MHaurel | AlphaNeural AI
You can deploy this model and start earning money today!
MHaurel
/
whisper-tiny-english
like
0
transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
en
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 - MHaurel
This model is a fine-tuned version of
openai/whisper-tiny
on the Minds14 dataset. It achieves the following results on the evaluation set:
Loss: 0.6628
Wer Ortho Percentage: 32.5108
Wer: 0.3253
Wer Percentage: 32.5266
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: 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 Percentage
Wer
Wer Percentage
0.0006
17.8571
500
0.6628
32.5108
0.3253
32.5266
Framework versions
Transformers 4.44.2
Pytorch 2.4.1+cu121
Datasets 3.0.1
Tokenizers 0.19.1
