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bart-large-cnn-weaksup-1000-NOpad-early – AI Model by cammy | AlphaNeural AI
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bart-large-cnn-weaksup-1000-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-1000-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: 1.9082
Rouge1: 26.9663
Rouge2: 11.3027
Rougel: 20.7327
Rougelsum: 23.5965
Gen Len: 67.19
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
1.4775
1.0
1000
1.6796
27.208
12.01
20.8401
24.1333
66.06
0.6972
2.0
2000
1.9082
26.9663
11.3027
20.7327
23.5965
67.19
Framework versions
Transformers 4.16.2
Pytorch 1.10.2
Datasets 1.18.3
Tokenizers 0.11.0
