pegasus-samsum-1 – AI Model by aplnestrella | AlphaNeural AI

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aplnestrella/
pegasus-samsum-1

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text2text-generation

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pegasus-samsum-1

This model is a fine-tuned version of google/pegasus-cnn_dailymail on the samsum dataset. It achieves the following results on the evaluation set:

Loss: 1.3783

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: 5e-05
train_batch_size: 1
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 2
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss
1.7182	0.07	500	1.6019
1.805	0.14	1000	1.5057
1.7421	0.2	1500	1.4710
1.4131	0.27	2000	1.4522
1.5483	0.34	2500	1.4422
1.2689	0.41	3000	1.4297
2.0376	0.48	3500	1.4136
1.5208	0.54	4000	1.4089
1.6772	0.61	4500	1.3973
1.5757	0.68	5000	1.3951
1.8022	0.75	5500	1.3846
1.6937	0.81	6000	1.3833
1.4412	0.88	6500	1.3820
1.4339	0.95	7000	1.3783

Framework versions

Transformers 4.25.1
Pytorch 1.13.0+cu116
Datasets 2.8.0
Tokenizers 0.13.2