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samsum_aes__distilbart-cnn-12-6 – AI Model by perfectsquare123 | AlphaNeural AI
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perfectsquare123
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samsum_aes__distilbart-cnn-12-6
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transformers
safetensors
bart
text2text-generation
generated_from_trainer
sshleifer/distilbart-cnn-12-6
finetune
apache-2.0
endpoints_compatible
us
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samsum_aes__distilbart-cnn-12-6
This model is a fine-tuned version of
sshleifer/distilbart-cnn-12-6
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.7622
Rouge1: 38.23
Rouge2: 19.19
Rougel: 29.6
Rougelsum: 29.62
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: 16
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Rouge1
Rouge2
Rougel
Rougelsum
0.8397
1.0
1842
0.8156
35.4
17.32
27.14
27.11
0.6849
2.0
3684
0.7591
37.62
18.93
29.31
29.3
0.5617
3.0
5526
0.7622
38.23
19.19
29.6
29.62
Framework versions
Transformers 4.51.1
Pytorch 2.6.0+cu124
Datasets 3.5.0
Tokenizers 0.21.1
