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
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