Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
amk-whisper – AI Model by oyvindgrutle | AlphaNeural AI
You can deploy this model and start earning money today!
oyvindgrutle
/
amk-whisper
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
amk-whisper
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: 1.1902
Wer: 40.3587
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: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 50
training_steps: 100
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
No log
20.0
20
0.7838
30.9417
0.8511
40.0
40
1.0878
44.8430
0.0794
60.0
60
1.1466
39.4619
0.001
80.0
80
1.1872
39.9103
0.0004
100.0
100
1.1902
40.3587
Framework versions
Transformers 4.27.0.dev0
Pytorch 1.13.1+cu117
Datasets 2.8.0
Tokenizers 0.13.2
