bart-large-cnn-finetuned-weaksup-1000-earlystop

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: 1.9095
• Rouge1: 27.9262
• Rouge2: 11.895
• Rougel: 21.4029
• Rougelsum: 24.7805
• Gen Len: 67.68

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: 5
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
1.502	1.0	1000	1.7405	26.5705	11.4807	20.1226	23.6827	66.73
0.7337	2.0	2000	1.9095	27.9262	11.895	21.4029	24.7805	67.68

Framework versions

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