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whisper-small-ko-zeroth – AI Model by seastar105 | AlphaNeural AI
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whisper-small-ko-zeroth
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transformers
pytorch
tensorboard
whisper
automatic-speech-recognition
hf-asr-leaderboard
generated_from_trainer
whisper-event
ko
kresnik/zeroth_korean
apache-2.0
model-index
endpoints_compatible
us
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Whisper Small Korean
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: 0.0899
Wer: 6.7610
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: 4000
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.1277
0.72
1000
0.1489
12.2271
0.0379
1.44
2000
0.1053
6.7159
0.0138
2.16
3000
0.0918
6.0382
0.0141
2.87
4000
0.0899
6.7610
Framework versions
Transformers 4.26.0.dev0
Pytorch 1.13.0a0+d0d6b1f
Datasets 2.7.1
Tokenizers 0.13.2
