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whisper-tiny-en_v4 – AI Model by ahmedlh | AlphaNeural AI
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whisper-tiny-en_v4
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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
v4
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: 0.5576
Wer Ortho: 33.2416
Wer: 24.7805
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 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
0.2724
0.4119
250
0.5662
34.0042
25.3767
0.2531
0.8237
500
0.5576
33.2416
24.7805
Framework versions
Transformers 4.52.4
Pytorch 2.7.0+cu128
Datasets 2.14.6
Tokenizers 0.21.1
