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bart-large-cnn-weaksup-10k-NOpad-early – AI Model by cammy | AlphaNeural AI
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cammy
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bart-large-cnn-weaksup-10k-NOpad-early
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transformers
pytorch
bart
text2text-generation
generated_from_trainer
mit
endpoints_compatible
us
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bart-large-cnn-weaksup-10k-NOpad-early
This model is a fine-tuned version of
facebook/bart-large-cnn
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 1.7883
Rouge1: 26.9755
Rouge2: 12.4975
Rougel: 21.0743
Rougelsum: 23.9303
Gen Len: 69.549
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: 3
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Rouge1
Rouge2
Rougel
Rougelsum
Gen Len
1.4657
1.0
10000
1.7295
27.973
13.2818
21.8493
25.0101
67.831
0.8522
2.0
20000
1.7883
26.9755
12.4975
21.0743
23.9303
69.549
Framework versions
Transformers 4.16.2
Pytorch 1.10.2
Datasets 1.18.3
Tokenizers 0.11.0
