Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
whisper-dpv-finetuned-5-EPOCHS – AI Model by aherzberg | AlphaNeural AI
You can deploy this model and start earning money today!
aherzberg
/
whisper-dpv-finetuned-5-EPOCHS
like
0
transformers
pytorch
tensorboard
whisper
automatic-speech-recognition
generated_from_trainer
apache-2.0
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
whisper-dpv-finetuned-5-EPOCHS
This model is a fine-tuned version of
openai/whisper-medium
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.0190
Wer: 5.9576
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: 1
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 4
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: 50
num_epochs: 4
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.3855
1.01
1000
0.1646
13.4732
0.1244
2.01
2000
0.0603
9.5074
0.0358
3.02
3000
0.0190
5.9576
Framework versions
Transformers 4.26.0.dev0
Pytorch 1.12.1
Datasets 2.7.1
Tokenizers 0.13.2
