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distilbart-cnn-12-6-samsum – AI Model by getrajeev03 | AlphaNeural AI
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distilbart-cnn-12-6-samsum
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transformers
pytorch
tensorboard
bart
text2text-generation
generated_from_trainer
samsum
apache-2.0
model-index
endpoints_compatible
us
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distilbart-cnn-12-6-samsum
This model is a fine-tuned version of
sshleifer/distilbart-cnn-12-6
on the samsum dataset. It achieves the following results on the evaluation set:
Loss: 1.4753
Rouge1: 39.3733
Rouge2: 19.4821
Rougel: 29.8944
Rougelsum: 36.7688
Gen Len: 59.4750
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: 1
eval_batch_size: 1
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
1.4685
1.0
14732
1.4753
39.3733
19.4821
29.8944
36.7688
59.4750
Framework versions
Transformers 4.30.2
Pytorch 1.12.1
Datasets 2.13.1
Tokenizers 0.11.0
