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bart-v2-speech – AI Model by naem1023 | AlphaNeural AI
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naem1023
/
bart-v2-speech
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transformers
pytorch
bart
text2text-generation
generated_from_trainer
naem1023/aihub-speech
mit
endpoints_compatible
us
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bart-v2-x
This model is a fine-tuned version of
hyunwoongko/kobart
on the naem1023/aihub-speech dataset.
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-05
train_batch_size: 110
eval_batch_size: 40
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 880
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 6.0
Training results
Framework versions
Transformers 4.21.1
Pytorch 1.12.1
Datasets 2.4.0
Tokenizers 0.12.1