sumarize_model_pegasus_v1 – AI Model by TheBug95 | AlphaNeural AI

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TheBug95/
sumarize_model_pegasus_v1

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text2text-generation

generated_from_trainer

google/pegasus-xsum

endpoints_compatible

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sumarize_model_pegasus_v1

This model is a fine-tuned version of google/pegasus-xsum on the None dataset. It achieves the following results on the evaluation set:

Loss: 1.3379
Rouge1: 0.6034
Rouge2: 0.4459
Rougel: 0.5685
Rougelsum: 0.5681
Gen Len: 32.8647

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: 3.419313942464226e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 20
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
No log	1.0	239	1.4418	0.6747	0.5033	0.6338	0.6335	43.9549
No log	2.0	478	1.3434	0.6869	0.5148	0.646	0.6459	44.938
1.8531	3.0	717	1.2791	0.6843	0.5141	0.6451	0.645	44.7556
1.8531	4.0	956	1.2358	0.6868	0.5168	0.6473	0.647	44.4305
1.4419	5.0	1195	1.2654	0.6858	0.5172	0.6467	0.6464	43.7857
1.4419	6.0	1434	1.2838	0.6686	0.4999	0.6291	0.6288	39.9549
1.4368	7.0	1673	1.3379	0.6034	0.4459	0.5685	0.5681	32.8647

Framework versions

Transformers 4.38.2
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2