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distilbart-cnn-12-6-finetuned-weaksup-1000 – AI Model by cammy | AlphaNeural AI
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distilbart-cnn-12-6-finetuned-weaksup-1000
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transformers
pytorch
bart
text2text-generation
generated_from_trainer
apache-2.0
endpoints_compatible
us
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distilbart-cnn-12-6-finetuned-weaksup-1000
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: 1.6818
Rouge1: 25.9199
Rouge2: 11.2697
Rougel: 20.3598
Rougelsum: 22.8242
Gen Len: 66.44
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: 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
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Rouge1
Rouge2
Rougel
Rougelsum
Gen Len
1.644
1.0
1000
1.6818
25.9199
11.2697
20.3598
22.8242
66.44
Framework versions
Transformers 4.16.2
Pytorch 1.10.2
Datasets 1.18.3
Tokenizers 0.11.0
