ke-t5

This model is a fine-tuned version of KETI-AIR/ke-t5-base on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 11.9691
• Rouge1: 0.0002
• Rouge2: 0.0
• Rougel: 0.0002
• Sacrebleu: 0.0076

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: 32
• eval_batch_size: 32
• seed: 42
• gradient_accumulation_steps: 2
• total_train_batch_size: 64
• 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	Sacrebleu
23.1815	2.7	500	11.9691	0.0002	0.0	0.0002	0.0076

Framework versions

• Transformers 4.32.1
• Pytorch 2.0.1+cu118
• Datasets 3.0.2
• Tokenizers 0.13.2