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yt-special-batch12-lr4-small-halfcleantest – AI Model by TheRains | AlphaNeural AI | AlphaNeural AI
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yt-special-batch12-lr4-small-halfcleantest
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transformers
pytorch
tensorboard
whisper
automatic-speech-recognition
whisper-event
generated_from_trainer
yt
openai/whisper-small
finetune
apache-2.0
model-index
endpoints_compatible
us
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Whisper Small Indonesian
This model is a fine-tuned version of
openai/whisper-small
on the yt id dataset. It achieves the following results on the evaluation set:
Loss: 0.5437
Wer: 28.2250
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: 0.0001
train_batch_size: 12
eval_batch_size: 6
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
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
1.363
0.26
1000
1.1114
85.9477
1.0764
0.52
2000
0.8777
63.4761
0.9416
0.77
3000
0.6950
43.3953
0.4797
1.03
4000
0.5948
34.7867
0.4025
1.29
5000
0.5437
28.2250
Framework versions
Transformers 4.31.0.dev0
Pytorch 2.0.1+cu117
Datasets 2.13.1
Tokenizers 0.13.3
