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bart-large-cnn-finetuned-weaksup-1000 – AI Model by cammy | AlphaNeural AI
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bart-large-cnn-finetuned-weaksup-1000
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transformers
pytorch
bart
text2text-generation
generated_from_trainer
mit
endpoints_compatible
us
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bart-large-cnn-finetuned-weaksup-1000
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: 1.6325
Rouge1: 26.1954
Rouge2: 10.7128
Rougel: 19.3873
Rougelsum: 22.785
Gen Len: 66.85
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
1.3896
1.0
1000
1.6325
26.1954
10.7128
19.3873
22.785
66.85
Framework versions
Transformers 4.16.2
Pytorch 1.10.2
Datasets 1.18.3
Tokenizers 0.11.0
