Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
WHISPERLARGEUAE – AI Model by Mohsen21 | AlphaNeural AI
You can deploy this model and start earning money today!
Mohsen21
/
WHISPERLARGEUAE
like
0
transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
ar
Mohsen21/WHISPERLARGEUAE
openai/whisper-large
finetune
apache-2.0
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
Whisper Large fine tuned
This model is a fine-tuned version of
openai/whisper-large
on the 1620 RAW dataset. It achieves the following results on the evaluation set:
Loss: 0.1902
Wer: 12.3332
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: 8
seed: 42
optimizer: Use OptimizerNames.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: 750
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.0375
2.4691
200
0.1497
13.3916
0.0174
4.9383
400
0.1739
12.7934
0.0114
7.4074
600
0.1902
12.3332
Framework versions
Transformers 4.48.1
Pytorch 2.5.1+cu121
Datasets 3.2.0
Tokenizers 0.21.0
