Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
whisper-small-Eng-1 – AI Model by hashiikhan | AlphaNeural AI
You can deploy this model and start earning money today!
hashiikhan
/
whisper-small-Eng-1
like
0
transformers
pytorch
tensorboard
whisper
automatic-speech-recognition
generated_from_trainer
speech_commands
apache-2.0
model-index
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
whisper-small-Eng-1
This model is a fine-tuned version of
openai/whisper-small
on the speech_commands dataset. It achieves the following results on the evaluation set:
Loss: 5.0620
Wer: 239.6
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: 2
eval_batch_size: 2
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 4
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 5
training_steps: 10
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
7.156
0.01
5
6.9727
256.4
7.5392
0.02
10
5.0620
239.6
Framework versions
Transformers 4.28.0
Pytorch 2.0.0+cu118
Datasets 2.12.0
Tokenizers 0.13.3
