pegasus-samsum – AI Model by lvwerra | AlphaNeural AI

You can deploy this model and start earning money today!

lvwerra/
pegasus-samsum

like

0

text2text-generation

generated_from_trainer

endpoints_compatible

Views

No views yet

pegasus-samsum

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: 1.4177

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
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 0.4

Training results

Training Loss	Epoch	Step	Validation Loss
1.6092	0.03	500	1.6488
1.9715	0.07	1000	1.5444
1.8325	0.1	1500	1.5093
1.876	0.14	2000	1.4890
1.3081	0.17	2500	1.4737
1.7769	0.2	3000	1.4496
1.6276	0.24	3500	1.4430
1.6624	0.27	4000	1.4288
1.9202	0.31	4500	1.4235
1.4404	0.34	5000	1.4189
1.8016	0.37	5500	1.4177

Framework versions

Transformers 4.12.0.dev0
Pytorch 1.9.1+cu102
Datasets 1.12.1
Tokenizers 0.10.3