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long-t5-tglobal-base-google-multimedia – AI Model by QuangHuy54 | AlphaNeural AI
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QuangHuy54
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long-t5-tglobal-base-google-multimedia
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transformers
pytorch
tensorboard
longt5
text2text-generation
generated_from_trainer
multi_news
model-index
endpoints_compatible
us
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long-t5-tglobal-base-google-multimedia
This model is a fine-tuned version of
QuangHuy54/long-t5-tglobal-base-google-multimedia
on the multi_news dataset. It achieves the following results on the evaluation set:
Loss: 1.9936
Rouge1: 0.1004
Rouge2: 0.0347
Rougel: 0.078
Rougelsum: 0.078
Gen Len: 18.995
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: 2e-05
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
lr_scheduler_warmup_ratio: 0.1
num_epochs: 1
Training results
Training Loss
Epoch
Step
Validation Loss
Rouge1
Rouge2
Rougel
Rougelsum
Gen Len
2.383
1.0
3000
1.9936
0.1004
0.0347
0.078
0.078
18.995
Framework versions
Transformers 4.30.2
Pytorch 2.0.1+cu118
Datasets 2.13.1
Tokenizers 0.13.3
