headline_geneartor

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

• Loss: 1.8033
• Rouge1: 0.4798
• Rouge2: 0.2432
• Rougel: 0.4377
• Rougelsum: 0.4375
• Gen Len: 17.7487

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: 4

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
2.1366	1.0	3557	1.8742	0.4718	0.2344	0.4309	0.4308	17.7863
1.8889	2.0	7114	1.8210	0.4741	0.2392	0.433	0.4329	17.7028
1.7281	3.0	10671	1.8087	0.4797	0.2417	0.4374	0.4372	17.7501
1.6333	4.0	14228	1.8033	0.4798	0.2432	0.4377	0.4375	17.7487

Framework versions

• Transformers 4.30.2
• Pytorch 2.0.1+cu118
• Datasets 2.13.0
• Tokenizers 0.13.3