bart-large-cnn-10k-pad-early-lit

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: 0.3758
• Rouge1: 27.7351
• Rouge2: 13.1664
• Rougel: 21.6559
• Rougelsum: 24.648
• Gen Len: 69.343

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: 1
• eval_batch_size: 1
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 10
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
0.2516	1.0	9998	0.3540	28.1151	13.3875	22.1496	25.1745	66.578
0.1747	2.0	19996	0.3758	27.7351	13.1664	21.6559	24.648	69.343

Framework versions

• Transformers 4.16.2
• Pytorch 1.10.2
• Datasets 1.18.3
• Tokenizers 0.11.0