bart-cnn-samsum-peft

This model is a fine-tuned version of smazhug2024/bart-cnn-samsum-finetuned on the samsum dataset. It achieves the following results on the evaluation set:

• Loss: 0.1361

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
0.0918	1.0	19	0.1363
0.0959	2.0	38	0.1362
0.0916	3.0	57	0.1361
0.0878	4.0	76	0.1361
0.1026	5.0	95	0.1361

Framework versions

• PEFT 0.11.1
• Transformers 4.42.4
• Pytorch 2.3.1+cu121
• Datasets 2.20.0
• Tokenizers 0.19.1