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v3_free_all_re – AI Model by freshpearYoon | AlphaNeural AI
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v3_free_all_re
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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: 0.4933
Cer: 6.9924
Wer: 28.6257
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
0.6435
0.14
1000
0.6061
7.0810
29.1317
0.515
0.28
2000
0.4933
6.9924
28.6257
Framework versions
Transformers 4.39.0.dev0
Pytorch 1.14.0a0+410ce96
Datasets 2.17.1
Tokenizers 0.15.2
