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Text_Summarization – AI Model by buianh0803 | AlphaNeural AI
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Text_Summarization
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transformers
pytorch
t5
text2text-generation
generated_from_trainer
cnn_dailymail
google-t5/t5-small
finetune
apache-2.0
model-index
text-generation-inference
endpoints_compatible
us
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Text_Summarization
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: 1.7064
Rouge1: 0.2468
Rouge2: 0.1174
Rougel: 0.204
Rougelsum: 0.204
Gen Len: 18.9998
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: 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
Gen Len
1.8588
1.0
35890
1.7064
0.2468
0.1174
0.204
0.204
18.9998
Framework versions
Transformers 4.34.0
Pytorch 2.0.1+cu118
Datasets 2.14.5
Tokenizers 0.14.1
