Nato-chat

This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.1764
• Rouge1: 0.6435
• Rouge2: 0.5596
• Rougel: 0.6287
• Rougelsum: 0.6312

Model description

Flan-t5 Base

Training hyperparameters

The following hyperparameters were used during training:

• learning_rate: 2e-05
• train_batch_size: 16
• eval_batch_size: 4
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear

Framework versions

• Transformers 4.35.2
• Pytorch 2.0.0
• Datasets 2.1.0
• Tokenizers 0.15.0