Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
medium – AI Model by ImanNalia | AlphaNeural AI
You can deploy this model and start earning money today!
ImanNalia
/
medium
like
0
transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
openai/whisper-medium.en
finetune
apache-2.0
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
medium
This model is a fine-tuned version of
openai/whisper-medium.en
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.6406
Wer: 10.0661
Cer: 6.1253
Wer Normalized: 10.0637
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: 32
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: 500
training_steps: 1500
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
Cer
Wer Normalized
0.4967
1.75
500
0.3843
9.3314
5.5994
9.3264
0.1883
3.51
1000
0.4699
9.8026
5.9139
9.7977
0.058
5.26
1500
0.6406
10.0661
6.1253
10.0637
Framework versions
Transformers 4.39.3
Pytorch 1.12.1+cu116
Datasets 2.18.0
Tokenizers 0.15.2
