model

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

• Loss: 0.9659
• Rouge1: 0.6514
• Rouge2: 0.5278
• Rougel: 0.6214
• Rougelsum: 0.6209
• Gen Len: 19.9082

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

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
0.9746	1.0	3363	0.9969	0.6465	0.5254	0.6176	0.6175	19.9014
0.7439	2.0	6726	0.9272	0.6516	0.5291	0.6221	0.6216	19.8652
0.5953	3.0	10089	0.9432	0.6533	0.5293	0.6231	0.6228	19.8943
0.4824	4.0	13452	0.9659	0.6514	0.5278	0.6214	0.6209	19.9082

Framework versions

• Transformers 4.39.2
• Pytorch 2.2.1+cu121
• Datasets 2.18.0
• Tokenizers 0.15.2