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yt-special-batch4-base – AI Model by TheRains | AlphaNeural AI
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yt-special-batch4-base
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transformers
pytorch
tensorboard
whisper
automatic-speech-recognition
whisper-event
generated_from_trainer
yt
openai/whisper-base
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-base
on the yt id dataset. It achieves the following results on the evaluation set:
Loss: 1.0175
Wer: 66.0463
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: 4
eval_batch_size: 2
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
1.4446
0.09
1000
1.2313
91.5959
1.0599
0.17
2000
1.1312
106.3420
1.1851
0.26
3000
1.0801
77.3166
1.0325
0.34
4000
1.0380
71.8436
1.008
0.43
5000
1.0175
66.0463
Framework versions
Transformers 4.31.0.dev0
Pytorch 2.0.1+cu117
Datasets 2.13.1
Tokenizers 0.13.3
