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whisper-small-te-v3 – AI Model by kattojuprashanth238 | AlphaNeural AI
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
te
mozilla-foundation/common_voice_17_0
model-index
endpoints_compatible
us
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Whisper Small Te - Prashanth Kattoju
This model is a fine-tuned version of
openai/whisper-small-v3
on the Common Voice 17 dataset. It achieves the following results on the evaluation set:
Loss: 0.0903
Wer Ortho: 40.6593
Wer: 15.3846
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: 16
seed: 42
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: 1000
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer Ortho
Wer
0.0106
8.6207
1000
0.0903
40.6593
15.3846
Framework versions
Transformers 4.44.2
Pytorch 2.4.1+cu121
Datasets 3.0.1
Tokenizers 0.19.1
Future Scope
More training need to done with generalized data for more accurate results
