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bart_samsum – AI Model by Mahesh9 | AlphaNeural AI
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Mahesh9
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bart_samsum
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transformers
safetensors
bart
text2text-generation
generated_from_trainer
facebook/bart-large-cnn
finetune
mit
endpoints_compatible
us
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bart_samsum
This model is a fine-tuned version of
facebook/bart-large-cnn
on
SAMSUM
dataset.
It achieves the following results on the evaluation set:
Loss: 0.4966
Rouge1: 41.4888
Rouge2: 21.4374
Rougel: 32.0455
Rougelsum: 38.5273
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: 1
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 16
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 1
Training results
Training Loss
Epoch
Step
Validation Loss
Rouge1
Rouge2
Rougel
Rougelsum
0.525
0.54
500
0.5377
39.9053
20.1597
30.8845
37.3644
Framework versions
Transformers 4.37.2
Pytorch 2.2.0
Datasets 2.17.1
Tokenizers 0.15.2
