bart-base-re-attention-full-length

This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:

• Loss: 1.3079
• Rouge1: 20.1272
• Rouge2: 13.8723
• Rougel: 18.4828
• Rougelsum: 19.7038
• Gen Len: 25.7237

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: 8
• eval_batch_size: 8
• 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
1.9855	1.0	14207	1.3079	20.1272	13.8723	18.4828	19.7038	25.7237

Framework versions

• Transformers 4.35.0
• Pytorch 2.0.0
• Datasets 2.1.0
• Tokenizers 0.14.1