Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
whisper-v2-CGN-Frisian – AI Model by golesheed | AlphaNeural AI
You can deploy this model and start earning money today!
golesheed
/
whisper-v2-CGN-Frisian
like
0
transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
nl
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 V2
This model is a fine-tuned version of
openai/whisper-large-v2
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.2005
Wer: 9.6819
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: 3e-05
train_batch_size: 12
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: 20
num_epochs: 5
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.36
2.5
15
0.2378
12.5864
0.0614
5.0
30
0.2005
9.6819
Framework versions
Transformers 4.45.0.dev0
Pytorch 2.1.0+cu121
Datasets 2.20.0
Tokenizers 0.19.1
