mymodel_LORA_base_10k_2e5_3epoch_batch16_T4

This model is a fine-tuned version of VietAI/vit5-base on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 1.9509
• Rouge1: 0.5087
• Rouge2: 0.21
• Rougel: 0.3279
• Rougelsum: 0.3278
• Gen Len: 47.1885

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: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
2.904	1.0	500	2.0384	0.4986	0.1981	0.323	0.3231	54.0445
2.167	2.0	1000	1.9662	0.5068	0.2053	0.3269	0.3268	54.8295
2.1217	3.0	1500	1.9509	0.5087	0.21	0.3279	0.3278	47.1885

Framework versions

• Transformers 4.34.0
• Pytorch 2.1.0+cu118
• Datasets 2.14.7
• Tokenizers 0.14.1