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whisper-small-id – AI Model by wrice | AlphaNeural AI
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whisper-small-id
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
id
mozilla-foundation/common_voice_11_0
openai/whisper-small
finetune
apache-2.0
model-index
endpoints_compatible
us
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Whisper Small Indonesian - Will Rice
This model is a fine-tuned version of
openai/whisper-small
on the Common Voice 11.0 dataset. It achieves the following results on the evaluation set:
Loss: 0.3281
Wer: 17.3871
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: 8
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: linear
lr_scheduler_warmup_steps: 500
training_steps: 4000
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.1837
1.9194
1000
0.2526
17.8433
0.0419
3.8388
2000
0.2729
17.3456
0.0059
5.7582
3000
0.3144
17.5576
0.0023
7.6775
4000
0.3281
17.3871
Framework versions
Transformers 4.47.1
Pytorch 2.5.1+cu124
Datasets 3.2.0
Tokenizers 0.21.0
