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bart-EDGAR-CORPUS – AI Model by wyx-ucl | AlphaNeural AI
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wyx-ucl
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bart-EDGAR-CORPUS
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transformers
pytorch
bart
text2text-generation
generated_from_trainer
facebook/bart-large-cnn
finetune
mit
endpoints_compatible
us
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bart-EDGAR-CORPUS
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: 0.4876
Rouge1: 0.5298
Rouge2: 0.3439
Rougel: 0.4251
Rougelsum: 0.5210
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: 5e-05
train_batch_size: 3
eval_batch_size: 3
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 1
Training results
Training Loss
Epoch
Step
Validation Loss
Rouge1
Rouge2
Rougel
Rougelsum
0.9531
1.0
6
0.4876
0.5298
0.3439
0.4251
0.5210
Framework versions
Transformers 4.31.0
Pytorch 2.0.1+cu118
Datasets 2.14.0
Tokenizers 0.13.3
