Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
whisper-small-sv-bm – AI Model by birgermoell | AlphaNeural AI
You can deploy this model and start earning money today!
birgermoell
/
whisper-small-sv-bm
like
0
transformers
pytorch
tensorboard
whisper
automatic-speech-recognition
hf-asr-leaderboard
generated_from_trainer
sv
mozilla-foundation/common_voice_11_0
apache-2.0
model-index
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
WhisperSmallSwedishBirgerMoell
This model is a fine-tuned version of
openai/whisper-small
on the Common Voice 11.0 dataset. It achieves the following results on the evaluation set:
Loss: 0.3253
Wer: 19.5854
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
Wer
0.1523
1.29
1000
0.2924
21.5509
0.0515
2.59
2000
0.2856
20.4593
0.0214
3.88
3000
0.3010
19.9054
0.0042
5.17
4000
0.3253
19.5854
Framework versions
Transformers 4.25.0.dev0
Pytorch 1.13.0+cu117
Datasets 2.6.1
Tokenizers 0.13.1
