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long-t5-tglobal-base-samsum – AI Model by kresnandika | AlphaNeural AI
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kresnandika
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long-t5-tglobal-base-samsum
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transformers
pytorch
tensorboard
longt5
text2text-generation
generated_from_trainer
apache-2.0
endpoints_compatible
us
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long-t5-tglobal-base-samsum
This model is a fine-tuned version of
google/long-t5-tglobal-base
on an samsum dataset. It achieves the following results on the evaluation set:
Loss: 1.3565
Rouge1: 46.191
Rouge2: 22.3147
Rougel: 38.4272
Rougelsum: 42.0471
Gen Len: 16.7350
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: 5e-05
train_batch_size: 2
eval_batch_size: 2
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
1.6898
1.0
7366
1.3795
45.766
21.7455
38.1609
41.7016
16.7265
1.5544
2.0
14732
1.3565
46.191
22.3147
38.4272
42.0471
16.7350
Framework versions
Transformers 4.26.0
Pytorch 1.13.1+cu117
Datasets 2.9.0
Tokenizers 0.13.2
