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t5-v1_1-small-finetuned-cnn_dailymail_2 – AI Model by ohyoulim | AlphaNeural AI
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ohyoulim
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t5-v1_1-small-finetuned-cnn_dailymail_2
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transformers
pytorch
tensorboard
t5
text2text-generation
summarization
generated_from_trainer
apache-2.0
text-generation-inference
endpoints_compatible
us
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t5-v1_1-small-finetuned-cnn_dailymail_2
This model is a fine-tuned version of
google/t5-v1_1-small
on the None dataset. It achieves the following results on the evaluation set:
Loss: 2.6169
Rouge1: 19.7138
Rouge2: 6.3879
Rougel: 16.3121
Rougelsum: 17.9656
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: 2
Training results
Training Loss
Epoch
Step
Validation Loss
Rouge1
Rouge2
Rougel
Rougelsum
4.1168
1.0
1250
2.7284
19.8853
6.514
16.467
18.3882
3.4117
2.0
2500
2.6718
19.9194
6.4482
16.3444
18.3119
Framework versions
Transformers 4.28.1
Pytorch 1.9.1+cu111
Datasets 2.11.0
Tokenizers 0.13.3
