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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: 2.1680
• Rouge1: 36.6341
• Rouge2: 13.3928
• Rougel: 22.2776
• Rougelsum: 31.8035
• Gen Len: 128.8262

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: 16
• seed: 42
• optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• 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
2.4193	1.0	325	2.2088	35.4023	12.9161	21.8208	30.7882	118.1077
2.082	2.0	650	2.1746	36.6297	13.571	22.3898	31.8423	126.7992
1.9509	3.0	975	2.1680	36.6341	13.3928	22.2776	31.8035	128.8262

Framework versions

• Transformers 4.48.3
• Pytorch 2.6.0+cu124
• Tokenizers 0.21.1