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distilbart-cnn-12-6-finetuned-1.1.1 – AI Model by jamesesguerra | AlphaNeural AI
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jamesesguerra
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distilbart-cnn-12-6-finetuned-1.1.1
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transformers
pytorch
tensorboard
bart
text2text-generation
generated_from_trainer
apache-2.0
endpoints_compatible
us
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distilbart-cnn-12-6-finetuned-1.1.1
This model is a fine-tuned version of
sshleifer/distilbart-cnn-12-6
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.1031
Rouge1: 80.2783
Rouge2: 76.9012
Rougel: 79.1544
Rougelsum: 79.3582
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: 5e-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
0.1389
1.0
1161
0.1130
79.3969
75.5992
78.117
78.3237
0.0881
2.0
2322
0.1031
80.2783
76.9012
79.1544
79.3582
Framework versions
Transformers 4.22.2
Pytorch 1.12.1+cu113
Datasets 2.5.2
Tokenizers 0.12.1
