bart-large-cnn-finetuned-roundup-3-4

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: 1.1949
• Rouge1: 49.6216
• Rouge2: 29.1874
• Rougel: 32.042
• Rougelsum: 46.3679
• Gen Len: 140.9688

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: 4
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
No log	1.0	258	1.2708	48.8914	29.2868	30.6203	46.2886	142.0
1.1751	2.0	516	1.1869	49.3567	28.4751	31.3075	46.3408	141.75
1.1751	3.0	774	1.1869	48.8335	28.4976	30.5434	46.2584	141.625
0.7391	4.0	1032	1.1949	49.6216	29.1874	32.042	46.3679	140.9688

Framework versions

• Transformers 4.18.0
• Pytorch 1.11.0+cu113
• Datasets 2.1.0
• Tokenizers 0.12.1