bart-large-cnn-finetuned-p7_V2

This model is a fine-tuned version of facebook/bart-large-cnn on the None dataset. It achieves the following results on the evaluation set:

• Loss: 1.0742
• Rouge1: 54.2238
• Rouge2: 44.1502
• Rougel: 49.9702
• Rougelsum: 51.9939
• Gen Len: 65.3454

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: 1
• eval_batch_size: 1
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 3
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
0.6948	1.0	910	0.8121	51.6637	41.9437	48.1988	49.7012	68.7993
0.3042	2.0	1820	0.9086	52.4291	42.1856	48.6079	50.2419	66.2829
0.1471	3.0	2730	1.0742	54.2238	44.1502	49.9702	51.9939	65.3454

Framework versions

• Transformers 4.29.2
• Pytorch 2.0.1+cu118
• Datasets 2.12.0
• Tokenizers 0.13.3