Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
whisper-tiny-finetuned-minds14 – AI Model by NicolasDenier | AlphaNeural AI
You can deploy this model and start earning money today!
NicolasDenier
/
whisper-tiny-finetuned-minds14
like
0
transformers
pytorch
tensorboard
whisper
automatic-speech-recognition
generated_from_trainer
en
PolyAI/minds14
openai/whisper-tiny
finetune
apache-2.0
model-index
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
whisper-tiny-finetuned-minds14
This model is a fine-tuned version of
openai/whisper-tiny
on the MInDS-1 dataset. It achieves the following results on the evaluation set:
Loss: 0.7355
Wer Ortho: 0.3313
Wer: 0.3323
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: 8
eval_batch_size: 16
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: constant_with_warmup
lr_scheduler_warmup_steps: 50
training_steps: 500
Training results
Training Loss
Epoch
Step
Validation Loss
Wer Ortho
Wer
0.0001
17.86
500
0.7355
0.3313
0.3323
Framework versions
Transformers 4.31.0
Pytorch 2.0.1+cu118
Datasets 2.14.0
Tokenizers 0.13.3
