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t5-small-finetuned-summarization-cnn – AI Model by Alred | AlphaNeural AI
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Alred
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t5-small-finetuned-summarization-cnn
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transformers
pytorch
tensorboard
t5
text2text-generation
summarization
generated_from_trainer
cnn_dailymail
apache-2.0
model-index
text-generation-inference
endpoints_compatible
us
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t5-small-finetuned-summarization-cnn
This model is a fine-tuned version of
t5-small
on the cnn_dailymail dataset. It achieves the following results on the evaluation set:
Loss: 2.0105
Rouge1: 24.4825
Rouge2: 9.1573
Rougel: 19.7135
Rougelsum: 22.2551
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
2.0389
1.0
718
2.0150
24.4413
9.1782
19.7202
22.2225
1.9497
2.0
1436
2.0105
24.4825
9.1573
19.7135
22.2551
Framework versions
Transformers 4.24.0
Pytorch 1.12.1+cu113
Datasets 2.7.0
Tokenizers 0.13.2
