attainment_bart_summarization

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: 0.3648
• Rouge1: 0.593
• Rouge2: 0.5676
• Rougel: 0.5797
• Rougelsum: 0.5816
• Gen Len: 66.7368

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
No log	1.0	38	0.3416	0.5952	0.5638	0.5657	0.5659	66.4737
No log	2.0	76	0.2780	0.5992	0.5733	0.5777	0.5776	66.7237
No log	3.0	114	0.3348	0.593	0.5632	0.5719	0.5734	66.5921
No log	4.0	152	0.3648	0.593	0.5676	0.5797	0.5816	66.7368

Framework versions

• Transformers 4.33.2
• Pytorch 2.0.1+cu118
• Datasets 2.14.5
• Tokenizers 0.13.3