pegasus-samsum – AI Model by tommyjin | AlphaNeural AI

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tommyjin/
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 the samsum dataset. It achieves the following results on the evaluation set:

Loss: 1.4836

Model description

요약 모델입니다. google 의 pegasus 모델을 삼성 SAMsum 데이터 셋으로 파인튜닝 했습니다.

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: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss
1.6669	0.5430	500	1.4836

Framework versions

Transformers 4.46.2
Pytorch 2.5.1+cu124
Datasets 3.1.0
Tokenizers 0.20.3