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distilbart-cnn-12-6-finetuned-1.2.3 – AI Model by jamesesguerra | AlphaNeural AI
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jamesesguerra
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distilbart-cnn-12-6-finetuned-1.2.3
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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-1.2.3
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: 2.0679
Rouge1: 39.561
Rouge2: 19.2826
Rougel: 33.2976
Rougelsum: 33.4508
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
2.6987
1.0
98
2.2214
39.1186
19.1018
32.9027
33.0949
1.8484
2.0
196
2.0679
39.561
19.2826
33.2976
33.4508
Framework versions
Transformers 4.22.2
Pytorch 1.12.1+cu113
Datasets 2.5.2
Tokenizers 0.12.1
