bart-base-finetuned-kagglenews-entityfiltering

This model is a fine-tuned version of facebook/bart-base on the None dataset. It achieves the following results on the evaluation set:

• Loss: 1.5703
• Rouge1: 28.2719
• Rouge2: 15.6883
• Rougel: 24.0674
• Rougelsum: 25.616
• Gen Len: 20.0

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: 4
• eval_batch_size: 4
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
1.9187	1.0	863	1.5703	28.2719	15.6883	24.0674	25.616	20.0

Framework versions

• Transformers 4.11.3
• Pytorch 1.10.0+cu102
• Datasets 1.14.0
• Tokenizers 0.10.3