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t5-base-indonesian-summarization-cased-finetuned-indosum – AI Model by thivh | AlphaNeural AI
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thivh
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t5-base-indonesian-summarization-cased-finetuned-indosum
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transformers
pytorch
tensorboard
t5
text2text-generation
generated_from_trainer
indosum
model-index
text-generation-inference
endpoints_compatible
us
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t5-base-indonesian-summarization-cased-finetuned-indosum
This model is a fine-tuned version of
panggi/t5-base-indonesian-summarization-cased
on the indosum dataset. It achieves the following results on the evaluation set:
Loss: 0.5884
Rouge1: 0.3278
Rouge2: 0.2868
Rougel: 0.32
Rougelsum: 0.3198
Gen Len: 19.0
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: 5.6e-05
train_batch_size: 3
eval_batch_size: 3
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2
Training results
Training Loss
Epoch
Step
Validation Loss
Rouge1
Rouge2
Rougel
Rougelsum
Gen Len
0.3815
1.0
4754
0.5584
0.3281
0.2866
0.3202
0.32
19.0
0.3207
2.0
9508
0.5884
0.3278
0.2868
0.32
0.3198
19.0
Framework versions
Transformers 4.28.1
Pytorch 2.0.0+cu118
Datasets 2.12.0
Tokenizers 0.13.3
