Transformers-Workshop-BART-Summarization – AI Model by ai-maker-space | AlphaNeural AI

You can deploy this model and start earning money today!

ai-maker-space/
Transformers-Workshop-BART-Summarization

like

0

text2text-generation

generated_from_trainer

facebook/bart-base

endpoints_compatible

Views

No views yet

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: 0.9584
Rouge1: 0.1977
Rouge2: 0.1321
Rougel: 0.1792
Rougelsum: 0.1884

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
2.6767	1.0	63	1.8911	0.1745	0.0915	0.1536	0.1644
2.0691	2.0	126	1.5904	0.1777	0.1003	0.1579	0.1677
1.8047	3.0	189	1.3652	0.1778	0.1029	0.1587	0.1663
1.6345	4.0	252	1.2317	0.1959	0.1226	0.1751	0.1842
1.4837	5.0	315	1.1099	0.2015	0.1265	0.1796	0.1911
1.3904	6.0	378	1.0267	0.2004	0.1278	0.1799	0.1893
1.2876	7.0	441	0.9788	0.1978	0.1307	0.1784	0.1878
1.2578	8.0	504	0.9584	0.1977	0.1321	0.1792	0.1884

Framework versions

Transformers 4.34.1
Pytorch 2.1.0+cu118
Datasets 2.14.6
Tokenizers 0.14.1