bart-cnn-samsum-peft

This model is a fine-tuned version of Kain17/bart-cnn-samsum-finetuned on the samsum dataset. It achieves the following results on the evaluation set:

• Loss: 0.1056

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
0.0636	1.0	37	0.1058
0.0704	2.0	74	0.1056
0.0754	3.0	111	0.1055
0.0571	4.0	148	0.1056
0.0633	5.0	185	0.1056

Framework versions

• PEFT 0.13.0
• Transformers 4.44.2
• Pytorch 2.4.1+cu121
• Datasets 3.0.1
• Tokenizers 0.19.1