bart-large-cnn_summarizer_30216

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

• Loss: 0.9800
• Rouge1: 51.6258
• Rouge2: 33.4629
• Rougel: 40.3034
• Rougelsum: 47.8482
• Gen Len: 105.0622

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: 2
• eval_batch_size: 2
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 3
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
0.8653	1.0	12086	0.9274	51.1144	32.972	39.8981	47.2905	100.2417
0.6741	2.0	24172	0.9330	51.5965	33.5021	40.4048	47.8046	103.9732
0.4802	3.0	36258	0.9800	51.6258	33.4629	40.3034	47.8482	105.0622

Framework versions

• Transformers 4.23.1
• Pytorch 1.12.1+cu113
• Datasets 2.6.1
• Tokenizers 0.13.1