bartcnn_finetune_4e

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

• Loss: 0.3295
• Rouge1: 39.7896
• Rouge2: 18.8935
• Rougel: 26.783
• Rougelsum: 35.2813

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: 2
• eval_batch_size: 2
• seed: 42
• gradient_accumulation_steps: 2
• total_train_batch_size: 4
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 4
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum
0.4269	1.0	1522	0.3342	39.3787	18.9684	26.7717	34.7404
0.3743	2.0	3044	0.3276	39.977	18.9784	27.1332	35.5149
0.34	3.0	4566	0.3273	40.274	19.5907	27.3976	35.7839
0.3279	4.0	6088	0.3295	39.7896	18.8935	26.783	35.2813

Framework versions

• Transformers 4.42.4
• Pytorch 2.3.1+cu121
• Datasets 2.21.0
• Tokenizers 0.19.1