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t5-base-finetuned-summarize-news-tuto-noticias – AI Model by EP9 | AlphaNeural AI
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t5-base-finetuned-summarize-news-tuto-noticias
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transformers
pytorch
tensorboard
t5
text2text-generation
generated_from_trainer
text-generation-inference
endpoints_compatible
us
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t5-base-finetuned-summarize-news-tuto-noticias
This model is a fine-tuned version of
mrm8488/t5-base-finetuned-summarize-news
on the None dataset. It achieves the following results on the evaluation set:
Loss: 1.1414
Rouge1: 0.3108
Rouge2: 0.2066
Rougel: 0.3003
Rougelsum: 0.3004
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: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 1
Training results
Training Loss
Epoch
Step
Validation Loss
Rouge1
Rouge2
Rougel
Rougelsum
1.3374
1.0
6034
1.1414
0.3108
0.2066
0.3003
0.3004
Framework versions
Transformers 4.25.1
Pytorch 1.13.0+cu116
Datasets 2.7.1
Tokenizers 0.13.2
