Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
whisper-small-ro-music2text-spleeter – AI Model by VMadalina | AlphaNeural AI
You can deploy this model and start earning money today!
VMadalina
/
whisper-small-ro-music2text-spleeter
like
0
pytorch
tensorboard
whisper
hf-asr-leaderboard
generated_from_trainer
ro
openai/whisper-small
finetune
apache-2.0
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
Whisper Small Ro - VM2
This model is a fine-tuned version of
openai/whisper-small
on the None dataset. It achieves the following results on the evaluation set:
Loss: 1.0988
Wer: 49.4539
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: 150
training_steps: 4000
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.0766
3.69
1000
0.9249
58.8803
0.0072
7.38
2000
1.0316
55.4757
0.0037
11.07
3000
1.0742
51.3825
0.001
14.76
4000
1.0988
49.4539
Framework versions
Transformers 4.32.0.dev0
Pytorch 2.1.0+cu118
Datasets 2.12.0
Tokenizers 0.13.3
