summary-tragedy-Bart-Large-CNN – AI Model by eduardo9916 | AlphaNeural AI

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eduardo9916/
summary-tragedy-Bart-Large-CNN

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text2text-generation

generated_from_trainer

facebook/bart-large-cnn

endpoints_compatible

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summary-tragedy-Bart-Large-CNN

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

Loss: 2.4758
Rouge1: 0.3972
Rouge2: 0.1525
Rougel: 0.2279
Rougelsum: 0.2297
Gen Len: 142.0

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: 1e-05
train_batch_size: 4
eval_batch_size: 4
seed: 42
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 5
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
2.8064	1.0	10	2.5907	0.3676	0.08	0.1808	0.1804	136.0
2.4065	2.0	20	2.5102	0.3116	0.0669	0.1732	0.1732	142.0
2.2329	3.0	30	2.4821	0.3931	0.108	0.2077	0.2074	142.0
2.1376	4.0	40	2.4786	0.3972	0.1525	0.2279	0.2297	142.0
2.0733	5.0	50	2.4758	0.3972	0.1525	0.2279	0.2297	142.0

Framework versions

Transformers 4.46.3
Pytorch 2.5.1+cu121
Datasets 3.1.0
Tokenizers 0.20.3