Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
whisper-tiny-ta-example – AI Model by parambharat | AlphaNeural AI
You can deploy this model and start earning money today!
parambharat
/
whisper-tiny-ta-example
like
0
transformers
pytorch
whisper
automatic-speech-recognition
whisper-event
generated_from_trainer
ta
apache-2.0
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
Whisper tiny Ta example - Bharat Ramanathan
This model is a fine-tuned version of
parambharat/whisper-tiny-ta
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.4016
Wer: 36.5217
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
gradient_accumulation_steps: 2
total_train_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 25
training_steps: 100
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.304
12.01
25
0.3614
31.7391
0.1826
24.02
50
0.3851
35.2174
0.1346
37.01
75
0.3999
37.8261
0.1096
49.02
100
0.4016
36.5217
Framework versions
Transformers 4.26.0.dev0
Pytorch 1.13.0
Datasets 2.7.1.dev0
Tokenizers 0.13.2
