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bart-large-cnn-10k-lit-evalMA-NOpad – AI Model by cammy | AlphaNeural AI
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bart-large-cnn-10k-lit-evalMA-NOpad
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transformers
pytorch
bart
text2text-generation
generated_from_trainer
mit
endpoints_compatible
us
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bart-large-cnn-10k-lit-evalMA-NOpad
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: 1.9464
Rouge1: 28.6721
Rouge2: 13.8303
Rougel: 22.458
Rougelsum: 25.668
Gen Len: 66.893
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: 5
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Rouge1
Rouge2
Rougel
Rougelsum
Gen Len
1.535
1.0
10000
1.7501
28.519
13.967
22.4854
25.4511
66.555
0.8754
2.0
20000
1.9464
28.6721
13.8303
22.458
25.668
66.893
Framework versions
Transformers 4.16.2
Pytorch 1.10.2
Datasets 1.18.3
Tokenizers 0.11.0
