bart-large-cnn-aprischa

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: 0.3589
• Rouge1: 66.7098
• Rouge2: 57.7992
• Rougel: 63.2231
• Rougelsum: 65.9009
• Gen Len: 141.198

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: 3e-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: 2
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
0.369	1.0	5403	0.3835	66.0604	56.9948	62.4967	65.265	141.1126
0.2985	2.0	10806	0.3589	66.7098	57.7992	63.2231	65.9009	141.198

Framework versions

• Transformers 4.19.4
• Pytorch 1.11.0+cu113
• Datasets 2.2.2
• Tokenizers 0.12.1