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whisper-small-ko-fl-v2 – AI Model by p4b | AlphaNeural AI
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whisper-small-ko-fl-v2
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transformers
pytorch
tensorboard
whisper
automatic-speech-recognition
whisper-event
generated_from_trainer
ko
fleurs
apache-2.0
model-index
endpoints_compatible
us
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Whisper Small Ko(FLUERS) - by p4b
This model is a fine-tuned version of
openai/whisper-small
on the FLUERS Korean dataset. It achieves the following results on the evaluation set:
Loss: 0.4512
Wer: 148.1005
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-07
train_batch_size: 96
eval_batch_size: 64
seed: 42
distributed_type: multi-GPU
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 500
training_steps: 4000
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.6003
32.0
800
0.5913
167.2749
0.459
64.0
1600
0.4978
170.9841
0.4035
96.0
2400
0.4653
168.5911
0.3812
128.0
3200
0.4531
149.4765
0.3766
160.0
4000
0.4512
148.1005
Framework versions
Transformers 4.26.0.dev0
Pytorch 1.14.0.dev20221208+cu116
Datasets 2.7.1.dev0
Tokenizers 0.13.2
