fine-tuning-vit5-mlgsum-gelu

This model is a fine-tuned version of VietAI/vit5-base on the None dataset. It achieves the following results on the evaluation set:

• Loss: 2.1556
• Rouge1: 50.5193
• Rouge2: 21.2954
• Rougel: 33.6144
• Rougelsum: 33.9444
• Gen Len: 22.7724

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: 1e-05
• train_batch_size: 4
• eval_batch_size: 4
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_ratio: 0.05
• num_epochs: 3
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
2.2549	1.0	5972	2.1928	50.2908	20.6038	33.1745	33.4632	22.7732
2.118	2.0	11944	2.1566	50.1299	21.0429	33.4773	33.7977	22.7204
1.9907	3.0	17916	2.1556	50.5193	21.2954	33.6144	33.9444	22.7724

Framework versions

• Transformers 4.41.2
• Pytorch 2.1.2
• Datasets 2.19.2
• Tokenizers 0.19.1