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ML_project_custom_data_3epoch_with500 – AI Model by ymlee | AlphaNeural AI
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ML_project_custom_data_3epoch_with500
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peft
tensorboard
safetensors
generated_from_trainer
ko
customd_ataset
openai/whisper-large-v2
adapter
apache-2.0
us
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Whisper large-v2 Korean - ML_project_custom_data_3epoch_with500
This model is a fine-tuned version of
openai/whisper-large-v2
on the customd_ataset dataset. It achieves the following results on the evaluation set:
Loss: 0.6025
Cer: 89.9927
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: 0.001
train_batch_size: 4
eval_batch_size: 2
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 50
num_epochs: 3
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Cer
0.5908
1.0
113
0.6514
99.7078
0.3197
2.0
226
0.6254
90.9423
0.1429
3.0
339
0.6025
89.9927
Framework versions
PEFT 0.11.2.dev0
Transformers 4.41.2
Pytorch 2.3.0+cu121
Datasets 2.19.2
Tokenizers 0.19.1
