lr_5e-05_batch_4_epoch_3_model

• Loss: 3.3918
• Rouge-1: 22.9677
• Rouge-2: 8.1878
• Rouge-l: 20.6093
• Gen Len: 17.5178

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

• learning_rate: 5e-05
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 3
• mixed_precision_training: Native AMP

Training results

Framework versions

• Transformers 4.44.2
• Pytorch 2.1.0
• Datasets 2.21.0
• Tokenizers 0.19.1