LLM_Teach_Bart

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

• Loss: 1.8314
• Rouge1: 0.4848
• Rouge2: 0.215
• Rougel: 0.3765
• Rougelsum: 0.3762
• Gen Len: 44.2945

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: 16
• 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
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
1.7164	1.0	625	1.7203	0.4724	0.2088	0.3677	0.3675	44.1491
1.3424	2.0	1250	1.6998	0.4841	0.2167	0.3705	0.3699	45.3727
1.1171	3.0	1875	1.7546	0.4824	0.2144	0.3735	0.3735	43.7636
0.8193	4.0	2500	1.8314	0.4848	0.215	0.3765	0.3762	44.2945

Framework versions

• Transformers 4.36.0
• Pytorch 2.0.1+cu117
• Datasets 2.14.5
• Tokenizers 0.15.0