bart-cnn-samsum-peft

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

• Loss: 0.1307

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
0.0819	1.0	19	0.1305
0.0807	2.0	38	0.1306
0.0718	3.0	57	0.1307
0.0748	4.0	76	0.1307
0.088	5.0	95	0.1307

Framework versions

• PEFT 0.12.0
• Transformers 4.42.4
• Pytorch 2.4.0+cu121
• Datasets 2.21.0
• Tokenizers 0.19.1