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bart-base-finetuned-xsum – AI Model by Suryansh5545 | AlphaNeural AI
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bart-base-finetuned-xsum
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transformers
pytorch
tensorboard
bart
text2text-generation
generated_from_trainer
xsum
apache-2.0
model-index
endpoints_compatible
us
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bart-base-finetuned-xsum
This model is a fine-tuned version of
facebook/bart-base
on the xsum dataset. It achieves the following results on the evaluation set:
Loss: 4.8623
Rouge1: 19.9221
Rouge2: 4.0013
Rougel: 15.482
Rougelsum: 15.5006
Gen Len: 19.0
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: 4
eval_batch_size: 4
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
Gen Len
5.0575
1.0
5101
4.8623
19.9221
4.0013
15.482
15.5006
19.0
Framework versions
Transformers 4.30.0
Pytorch 2.3.0+cu121
Datasets 2.19.0
Tokenizers 0.13.3
