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ML_project_custom_data_1epoch_with500 – AI Model by ymlee | AlphaNeural AI
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ML_project_custom_data_1epoch_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_1epoch_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: 0.6012
Cer: 81.9576
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: 1
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Cer
0.3222
1.0
113
0.6012
81.9576
Framework versions
PEFT 0.11.2.dev0
Transformers 4.41.2
Pytorch 2.3.0+cu121
Datasets 2.19.2
Tokenizers 0.19.1
