bart-large-cnn-finetuned-weaksup-1000-pad-early-new1

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: 0.4948
• Rouge1: 28.1465
• Rouge2: 13.4076
• Rougel: 22.2763
• Rougelsum: 25.2087
• Gen Len: 68.58

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
0.156	1.0	1000	0.4377	27.8782	13.1274	21.2329	24.6465	66.25
0.0843	2.0	2000	0.4948	28.1465	13.4076	22.2763	25.2087	68.58

Framework versions

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