Beta
Explore
Marketplace
Neural Labs
Playground
Wallet
Docs
whisper-medium-pt – AI Model by M2LabOrg | AlphaNeural AI | AlphaNeural AI
You can deploy this model and start earning money today!
M2LabOrg
/
whisper-medium-pt
like
0
transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
pt
mozilla-foundation/common_voice_11_0
openai/whisper-medium
finetune
apache-2.0
model-index
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
Whisper medium pt - Michel Mesquita
This model is a fine-tuned version of
openai/whisper-medium
on the Common Voice 11.0 dataset. It achieves the following results on the evaluation set:
Loss: 0.1807
Wer: 10.7285
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
0.161
0.5945
1000
0.2014
12.6973
0.0797
1.1891
2000
0.1819
11.5995
0.0664
1.7836
3000
0.1724
11.1936
0.0269
2.3781
4000
0.1807
10.7285
Framework versions
Transformers 4.41.2
Pytorch 2.3.0+cu121
Datasets 2.19.2
Tokenizers 0.19.1
