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stt-test-1223 – AI Model by djdhyun-gglabs | AlphaNeural AI
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tensorboard
safetensors
whisper
generated_from_trainer
ko
gglabs/stt-test-1223
openai/whisper-large-v3-turbo
finetune
mit
model-index
us
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Whisper Small ko
This model is a fine-tuned version of
openai/whisper-large-v3-turbo
on the custom dataset. It achieves the following results on the evaluation set:
Loss: 1.4327
Wer: 52.7174
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: 2
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: 10
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.9079
0.2
10
1.4327
52.7174
Framework versions
Transformers 4.42.3
Pytorch 2.3.1+cu121
Datasets 3.0.0
Tokenizers 0.19.1