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largev2 – AI Model by freshpearYoon | AlphaNeural AI
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freshpearYoon
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largev2
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
hf-asr-leaderboard
generated_from_trainer
ko
openai/whisper-large-v2
finetune
apache-2.0
endpoints_compatible
us
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whisper_finetune
This model is a fine-tuned version of
openai/whisper-large-v2
on the aihub_100000 dataset. It achieves the following results on the evaluation set:
Loss: 0.1966
Cer: 5.9236
Wer: 23.0770
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-06
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: 4000
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Cer
Validation Loss
Wer
0.1866
0.16
1000
6.0386
0.1963
23.2684
0.1788
0.32
2000
6.0483
0.1979
23.2267
0.1541
0.48
3000
6.0116
0.1929
23.5519
0.1692
0.64
4000
0.1966
5.9236
23.0770
Framework versions
Transformers 4.38.0.dev0
Pytorch 1.14.0a0+410ce96
Datasets 2.16.1
Tokenizers 0.15.1
