pegasus-xsum-finetuned-en-sum

This model is a fine-tuned version of october-sd/pegasus-xsum-finetuned-en-sum on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 1.5095

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: 8
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 16
• total_train_batch_size: 128
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 500
• num_epochs: 4

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	507	1.4958
No log	2.0	1014	1.5115
No log	3.0	1522	1.5094
No log	4.0	2028	1.5095

Framework versions

• Transformers 4.38.1
• Pytorch 2.1.2
• Datasets 2.15.0
• Tokenizers 0.15.2