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bart-large-cnn-10k-pad-early-lit – AI Model by cammy | AlphaNeural AI
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cammy
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bart-large-cnn-10k-pad-early-lit
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transformers
pytorch
bart
text2text-generation
generated_from_trainer
mit
endpoints_compatible
us
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bart-large-cnn-10k-pad-early-lit
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: 0.3758
Rouge1: 27.7351
Rouge2: 13.1664
Rougel: 21.6559
Rougelsum: 24.648
Gen Len: 69.343
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: 10
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Rouge1
Rouge2
Rougel
Rougelsum
Gen Len
0.2516
1.0
9998
0.3540
28.1151
13.3875
22.1496
25.1745
66.578
0.1747
2.0
19996
0.3758
27.7351
13.1664
21.6559
24.648
69.343
Framework versions
Transformers 4.16.2
Pytorch 1.10.2
Datasets 1.18.3
Tokenizers 0.11.0
