Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
whisper-small-en-sandi – AI Model by sgangireddy | AlphaNeural AI
You can deploy this model and start earning money today!
sgangireddy
/
whisper-small-en-sandi
like
0
transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
whisper-event
generated_from_trainer
audiofolder
openai/whisper-small.en
finetune
apache-2.0
model-index
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
openai/whisper-small.en
This model is a fine-tuned version of
openai/whisper-small.en
on the audiofolder dataset. It achieves the following results on the evaluation set:
Loss: 1.3087
Wer: 25.5445
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: 8
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: 500
training_steps: 3000
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.0021
10.0033
1000
1.1983
25.8346
0.0005
20.0067
2000
1.2810
25.4955
0.0002
30.01
3000
1.3087
25.5445
Framework versions
Transformers 4.49.0
Pytorch 2.4.0+cu121
Datasets 3.3.2
Tokenizers 0.21.0
