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chanhyuk2-gd – AI Model by djifg | AlphaNeural AI
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djifg
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chanhyuk2-gd
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transformers
pytorch
tensorboard
whisper
automatic-speech-recognition
generated_from_trainer
apache-2.0
endpoints_compatible
us
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chanhyuk2-gd
This model is a fine-tuned version of
openai/whisper-large-v2
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.0849
Wer: 21.7437
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: 3e-05
train_batch_size: 8
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: 200
training_steps: 1500
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.2028
0.18
500
0.2283
53.0944
0.0773
0.36
1000
0.1398
19.8464
0.053
0.54
1500
0.0849
21.7437
Framework versions
Transformers 4.31.0.dev0
Pytorch 2.0.1+cu118
Datasets 2.13.1
Tokenizers 0.13.3
