bart-base-finetuned-CNN-DailyNews – AI Model by dawnlight | AlphaNeural AI

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dawnlight/
bart-base-finetuned-CNN-DailyNews

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text2text-generation

generated_from_trainer

facebook/bart-base

endpoints_compatible

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bart-base-finetuned-CNN-DailyNews

This model is a fine-tuned version of facebook/bart-base on the None dataset. It achieves the following results on the evaluation set:

Loss: 1.8594
Rouge1: 0.1876
Rouge2: 0.1056
Rougel: 0.1659
Rougelsum: 0.1757

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: 5.6e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 8

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum
2.6078	1.0	63	1.9681	0.1706	0.0988	0.1529	0.1607
2.0494	2.0	126	1.8818	0.1908	0.1085	0.17	0.1792
1.8102	3.0	189	1.8500	0.1888	0.1084	0.1665	0.175
1.627	4.0	252	1.8500	0.185	0.1033	0.1631	0.1718
1.4668	5.0	315	1.8453	0.1793	0.1072	0.1612	0.1689
1.3781	6.0	378	1.8412	0.1815	0.1018	0.159	0.1697
1.292	7.0	441	1.8545	0.1868	0.1067	0.1667	0.175
1.253	8.0	504	1.8594	0.1876	0.1056	0.1659	0.1757

Framework versions

Transformers 4.36.2
Pytorch 2.1.0+cu121
Datasets 2.16.1
Tokenizers 0.15.0