thesis-bart-transformed-on-presummarized-wcep

This model is a fine-tuned version of roofdancer/thesis-bart-finetuned-on-transformed on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 2.2198
• Rouge1: 35.6036
• Rouge2: 14.3534
• Rougel: 25.0065
• Rougelsum: 28.8395
• Gen Len: 68.6937

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: 16
• eval_batch_size: 16
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 1
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
2.2855	1.0	510	2.2198	35.6036	14.3534	25.0065	28.8395	68.6937

Framework versions

• Transformers 4.39.3
• Pytorch 2.1.2
• Datasets 2.18.0
• Tokenizers 0.15.2