ignore_mode

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

• Loss: 2.5796
• Rouge1: 0.2492
• Rouge2: 0.0635
• Rougel: 0.1573
• Rougelsum: 0.1574
• Gen Len: 80.4

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: 2
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
No log	1.0	1	2.6776	0.2291	0.0618	0.1425	0.1427	85.4
No log	2.0	2	2.5796	0.2492	0.0635	0.1573	0.1574	80.4

Framework versions

• Transformers 4.27.2
• Pytorch 2.1.1
• Datasets 2.11.0
• Tokenizers 0.13.3