Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
whisper-large-omi – AI Model by LeoKuo49 | AlphaNeural AI
You can deploy this model and start earning money today!
LeoKuo49
/
whisper-large-omi
like
0
transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
zh
LeoKuo49/Amitabha
openai/whisper-large-v2
finetune
apache-2.0
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
whisper-large-amitabha
This model is a fine-tuned version of
openai/whisper-large-v2
on the Amitabha dataset. It achieves the following results on the evaluation set:
Loss: 0.0000
Cer: 0.4498
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
training_steps: 4000
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Cer
0.0079
12.5
1000
0.0118
1.1245
0.0001
25.0
2000
0.0001
0.3036
0.0
37.5
3000
0.0000
0.2699
0.0
50.0
4000
0.0000
0.4498
Framework versions
Transformers 4.41.2
Pytorch 2.3.0+cu121
Datasets 2.19.2
Tokenizers 0.19.1
