bart-base-re-attention-seq-512

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

• Loss: 0.9866
• Rouge1: 33.2829
• Rouge2: 24.5495
• Rougel: 31.4076
• Rougelsum: 32.6596
• Gen Len: 25.9728

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

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
2.0215	1.0	18247	0.9866	33.2829	24.5495	31.4076	32.6596	25.9728

Framework versions

• Transformers 4.33.0
• Pytorch 2.0.0
• Datasets 2.1.0
• Tokenizers 0.13.3