bart-cnn-samsum-finetuned

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

• Loss: 0.1743

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: 2e-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
0.1134	1.0	37	0.1313
0.0581	2.0	74	0.1378
0.0443	3.0	111	0.1470
0.0289	4.0	148	0.1631
0.0202	5.0	185	0.1743

Framework versions

• Transformers 4.33.1
• Pytorch 2.4.0
• Datasets 2.21.0
• Tokenizers 0.13.3