Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
whisper-large-edacc-v3 – AI Model by sage-bergerson | AlphaNeural AI
You can deploy this model and start earning money today!
sage-bergerson
/
whisper-large-edacc-v3
like
0
transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
en
sage-bergerson/edacc_processed
openai/whisper-large
finetune
cc-by-sa-4.0
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
Whisper Large EdAcc V3
This model is a fine-tuned version of
openai/whisper-large
on the EdAcc dataset. It achieves the following results on the evaluation set:
Loss: 0.5752
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: 5e-06
train_batch_size: 32
eval_batch_size: 16
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: 600
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
0.6164
1.9481
600
0.5752
Framework versions
Transformers 4.44.2
Pytorch 2.4.0
Datasets 2.21.0
Tokenizers 0.19.1
