bart-cnn-samsum-peft

This model is a fine-tuned version of asad-collinear/bart-cnn-samsum-finetuned on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.1402

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: 1e-05
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss
0.0876	1.0	37	0.1403
0.0944	2.0	74	0.1401
0.0976	3.0	111	0.1402
0.0814	4.0	148	0.1402
0.0895	5.0	185	0.1402

Framework versions

• PEFT 0.10.0
• Transformers 4.38.2
• Pytorch 2.2.1+cu121
• Datasets 2.18.0
• Tokenizers 0.15.2