Zohaib002/ATS-Bart-Large-psychological-dataset

ATS-Bart-Large-CNN

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: 1.1044
• Rouge1: 0.6648
• Rouge2: 0.4542
• Rougel: 0.5743
• Rougelsum: 0.5743
• Gen Len: 79.5693

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: 8
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
No log	1.0	274	0.8020	0.6276	0.3994	0.5208	0.5212	77.3942
0.7545	2.0	548	0.8005	0.6469	0.4278	0.5488	0.5488	79.8577
0.7545	3.0	822	0.8290	0.6533	0.4371	0.56	0.56	78.7865
0.3296	4.0	1096	0.8996	0.6581	0.4439	0.5636	0.5637	78.8522
0.3296	5.0	1370	0.9740	0.6602	0.4486	0.5644	0.5645	78.8869
0.1575	6.0	1644	1.0374	0.6617	0.4493	0.5689	0.5687	78.7974
0.1575	7.0	1918	1.0972	0.6613	0.4513	0.5706	0.5706	79.9069
0.0868	8.0	2192	1.1044	0.6648	0.4542	0.5743	0.5743	79.5693

Framework versions

• Transformers 4.41.2
• Pytorch 2.3.0+cu121
• Datasets 2.20.0
• Tokenizers 0.19.1