led-large-16384-BASE3ep-ASPRPreACE3ep

This model is a fine-tuned version of rosadecsai/led-large-16384-BASE3ep on the None dataset. It achieves the following results on the evaluation set:

• Loss: 2.0368
• Rouge1: 42.2843
• Rouge2: 14.6163
• Rougel: 20.4131
• Rougelsum: 39.8542
• Gen Len: 1.0

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: 4
• eval_batch_size: 4
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 16
• optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• num_epochs: 3
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
2.31	1.0	1132	2.0537	45.1613	18.1592	20.5955	43.4243	1.0
2.3175	2.0	2264	2.0340	33.2871	13.3519	17.4757	32.1775	1.0
2.2535	2.9980	3393	2.0368	42.2843	14.6163	20.4131	39.8542	1.0

Framework versions

• Transformers 4.48.3
• Pytorch 2.11.0+cu128
• Datasets 4.8.5
• Tokenizers 0.21.4