pegasus-samsum – AI Model by CarlBrendt | AlphaNeural AI

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CarlBrendt/
pegasus-samsum

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text2text-generation

generated_from_trainer

google/pegasus-cnn_dailymail

endpoints_compatible

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pegasus-samsum

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

Loss: 1.6034

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: 16
total_train_batch_size: 16
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
2.1537	0.11	500	2.0863
1.9761	0.21	1000	1.8822
1.892	0.32	1500	1.7913
1.8575	0.42	2000	1.7172
1.7898	0.53	2500	1.6785
1.7663	0.63	3000	1.6508
1.6782	0.74	3500	1.6347
1.7025	0.85	4000	1.6098
1.6642	0.95	4500	1.6034

Framework versions

Transformers 4.36.2
Pytorch 2.1.0+cu121
Datasets 2.15.0
Tokenizers 0.15.0