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whisper-small-KR – AI Model by CookieMonster99 | AlphaNeural AI
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whisper-small-KR
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transformers
pytorch
tensorboard
whisper
automatic-speech-recognition
hf-asr-leaderboard
generated_from_trainer
ko
Bingsu/zeroth-korean
openai/whisper-small
finetune
apache-2.0
model-index
endpoints_compatible
us
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Whisper Small KR - CookieMoster99
This model is a fine-tuned version of
openai/whisper-small
on the zeroth-korean dataset. It achieves the following results on the evaluation set:
Loss: 0.1037
Wer: 40.8824
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: 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: 3000
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.0294
0.18
1000
0.1502
30.7936
0.0375
0.36
2000
0.1191
44.9179
0.0286
0.54
3000
0.1037
40.8824
Framework versions
Transformers 4.32.0.dev0
Pytorch 2.0.1+cu118
Datasets 2.14.3
Tokenizers 0.13.3