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whisper-small-ko – AI Model by phucd | AlphaNeural AI
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phucd
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whisper-small-ko
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
ko
openai/whisper-small
finetune
apache-2.0
endpoints_compatible
us
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Whisper - Korean Model
This model is a fine-tuned version of
openai/whisper-small
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.4784
Wer: 98.8922
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
0.0002
52.63
1000
0.4055
107.5529
0.0001
105.26
2000
0.4449
102.2155
0.0001
157.89
3000
0.4692
93.1521
0.0001
210.53
4000
0.4784
98.8922
Framework versions
Transformers 4.36.0.dev0
Pytorch 1.12.1
Datasets 2.15.0
Tokenizers 0.15.0
