bart-large-cnn-finetuned-xsum

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: 1.6326
• Rouge1: 46.6416
• Rouge2: 17.5341
• Rougel: 27.7134
• Rougelsum: 42.3332
• Gen Len: 135.9615

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: 10
• eval_batch_size: 10
• 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
No log	1.0	21	1.6566	46.2086	17.2665	26.9931	41.4081	132.9423
No log	2.0	42	1.6262	47.1941	18.0513	28.3194	42.2051	138.5192
No log	3.0	63	1.6326	46.6416	17.5341	27.7134	42.3332	135.9615

Framework versions

• Transformers 4.42.4
• Pytorch 2.3.1+cu121
• Datasets 2.20.0
• Tokenizers 0.19.1