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distilbart-cnn-12-6-finetuned-1.3.2 – AI Model by jamesesguerra | AlphaNeural AI
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jamesesguerra
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distilbart-cnn-12-6-finetuned-1.3.2
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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-1.3.2
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: 1.8049
Rouge1: 50.5143
Rouge2: 23.2481
Rougel: 34.135
Rougelsum: 46.4261
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: 4
eval_batch_size: 4
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
2.1377
1.0
586
1.8792
49.8737
22.7881
33.6698
45.8037
1.5731
2.0
1172
1.8049
50.5143
23.2481
34.135
46.4261
Framework versions
Transformers 4.25.1
Pytorch 1.12.1+cu113
Datasets 2.7.1
Tokenizers 0.13.2
