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v3_concat – AI Model by freshpearYoon | AlphaNeural AI
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freshpearYoon
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v3_concat
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
hf-asr-leaderboard
generated_from_trainer
ko
openai/whisper-large-v3
finetune
apache-2.0
endpoints_compatible
us
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whisper_finetune
This model is a fine-tuned version of
openai/whisper-large-v3
on the aihub_100000 dataset. It achieves the following results on the evaluation set:
Loss: 0.4970
Cer: 5.4843
Wer: 22.9248
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-08
train_batch_size: 16
eval_batch_size: 16
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: 2000
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Cer
Wer
0.9923
0.9
1000
0.5893
6.0827
25.3866
0.9389
1.79
2000
0.4970
5.4843
22.9248
Framework versions
Transformers 4.39.0.dev0
Pytorch 1.14.0a0+410ce96
Datasets 2.17.1
Tokenizers 0.15.2
