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whisper-tiny-en_v3 – AI Model by benkacemnaji010111 | AlphaNeural AI
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whisper-tiny-en_v3
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
en
mozilla-foundation/common_voice_1_0
openai/whisper-tiny
finetune
apache-2.0
model-index
endpoints_compatible
us
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Whisper tiny en
3
Naji
This model is a fine-tuned version of
openai/whisper-tiny
on the Common Voice 1 dataset. It achieves the following results on the evaluation set:
Loss: 0.7295
Wer Ortho: 40.5998
Wer: 28.1737
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: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: constant_with_warmup
lr_scheduler_warmup_steps: 50
training_steps: 500
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer Ortho
Wer
0.0098
7.9365
500
0.7295
40.5998
28.1737
Framework versions
Transformers 4.52.4
Pytorch 2.6.0+cu124
Datasets 2.14.6
Tokenizers 0.21.1
