led-base-8192-biolaysum-elife

This model is a fine-tuned version of allenai/led-base-16384 on the None dataset. It achieves the following results on the evaluation set:

• Loss: 2.3267
• Rouge1: 0.4438
• Rouge2: 0.1123
• Rougel: 0.2010
• Rougelsum: 0.2010

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: 5e-05
• train_batch_size: 2
• eval_batch_size: 2
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 8
• 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
2.6233	0.92	500	2.3315	0.4395	0.1324	0.1976	0.1976

Framework versions

• Transformers 4.26.1
• Pytorch 1.12.0
• Datasets 2.9.0
• Tokenizers 0.12.1