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whispertiny_buah25sil_v1_9 – AI Model by albertuspekerti | AlphaNeural AI
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whispertiny_buah25sil_v1_9
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tensorboard
safetensors
whisper
generated_from_trainer
openai/whisper-tiny
finetune
apache-2.0
us
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whispertiny_buah25sil_v1_9
This model is a fine-tuned version of
openai/whisper-tiny
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.0630
Wer: 4.3787
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
training_steps: 5000
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.0063
3.3670
1000
0.0639
5.8009
0.0004
6.7340
2000
0.0410
3.0314
0.0
10.1010
3000
0.0609
4.3039
0.0
13.4680
4000
0.0626
4.4162
0.0
16.8350
5000
0.0630
4.3787
Framework versions
Transformers 4.41.2
Pytorch 2.3.0+cu121
Datasets 4.0.0
Tokenizers 0.19.1
