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kobart_64_6e-5_datav2_min30_lp5.0_temperature1.0 – AI Model by nlp04 | AlphaNeural AI
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nlp04
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kobart_64_6e-5_datav2_min30_lp5.0_temperature1.0
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transformers
pytorch
tensorboard
bart
text2text-generation
generated_from_trainer
mit
endpoints_compatible
us
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kobart_64_6e-5_datav2_min30_lp5.0_temperature1.0
This model is a fine-tuned version of
gogamza/kobart-base-v2
on the None 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: 6e-05
train_batch_size: 64
eval_batch_size: 128
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 5.0
Training results
Framework versions
Transformers 4.25.1
Pytorch 1.13.0+cu117
Datasets 2.7.1
Tokenizers 0.13.2
