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bart-base-japanese-RMT-tobyoki – AI Model by kaifanli | AlphaNeural AI
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kaifanli
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bart-base-japanese-RMT-tobyoki
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pytorch
tensorboard
generated_from_trainer
cc-by-sa-4.0
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bart-base-japanese-RMT-tobyoki
This model is a fine-tuned version of
ku-nlp/bart-base-japanese
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: 3e-06
train_batch_size: 1
eval_batch_size: 1
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 1.0
Training results
Training Loss
Epoch
Step
Validation Loss
Rouge1
Rouge2
Rougel
Rougelsum
Gen Len
No log
1.0
80
4.3398
13.538
1.007
7.3332
13.4129
4165.4
Framework versions
Transformers 4.30.0
Pytorch 2.0.1+cu117
Datasets 2.14.4
Tokenizers 0.13.3
