bart-large-xsumfinetuned-samsum – AI Model by rajiv-data-chef | AlphaNeural AI

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rajiv-data-chef/
bart-large-xsumfinetuned-samsum

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text2text-generation

generated_from_trainer

facebook/bart-large-cnn

endpoints_compatible

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bart-large-xsumfinetuned-samsum

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: 2.9976
Rouge1: 0.4246
Rouge2: 0.2069
Rougel: 0.3253
Rougelsum: 0.3907

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: 6
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum
0.2858	1.0	3683	2.3127	0.4051	0.1926	0.3072	0.3720
0.3128	2.0	7366	2.3467	0.4007	0.1911	0.3037	0.3687
0.2544	3.0	11049	2.3126	0.4145	0.2019	0.3159	0.3801
0.1846	4.0	14732	2.6484	0.4088	0.1977	0.3096	0.3774
0.1143	5.0	18415	2.7793	0.4173	0.1997	0.3155	0.3843
0.0687	6.0	22098	2.9976	0.4246	0.2069	0.3253	0.3907

Framework versions

Transformers 4.40.1
Pytorch 2.2.1+cu121
Datasets 2.19.0
Tokenizers 0.19.1