kobart_16_5.6e-5_datav2_min30_lp5.0_temperature1.0

• Loss: 2.7174
• Rouge1: 35.7621
• Rouge2: 12.8914
• Rougel: 23.6695
• Bleu1: 29.9954
• Bleu2: 17.513
• Bleu3: 10.317
• Bleu4: 5.8532
• Gen Len: 49.3147

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

• learning_rate: 5.6e-05
• train_batch_size: 16
• eval_batch_size: 128
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_ratio: 0.1
• num_epochs: 5.0

Training results

Framework versions

• Transformers 4.25.1
• Pytorch 1.13.1+cu117
• Datasets 2.7.1
• Tokenizers 0.13.2