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# 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

{"language": ["en"], "tags": ["generated_from_trainer"], "metrics": ["rouge"], "widget": [{"text": "What is the Full form of NATO?", "example_title": "Full Form"}, {"text": "Name the NATO member countries.", "example_title": "NATO Members"}, {"text": "What kind of support did Ukraine offer to NATO?", "example_title": "Example 1"}, {"text": "Which country withdrew from the integrated military command of NATO in 1966?", "example_title": "Example 2"}, {"text": "Who were the original members of NATO", "example_title": "OG Members"}, {"text": "When was NATO established?", "example_title": "Example 3"}, {"text": "How many NATO members are there currently?", "example_title": "Example 4"}, {"text": "Who are the representatives of NATO member countries?", "example_title": "Example 5"}, {"text": "Question: What is the aim of the Mediterranean Dialogue?", "example_title": "Example 6"}], "inference": {"parameters": {"max_length": 600}}, "model-index": [{"name": "Nato-chat", "results": []}]}
transformers tensorboard safetensors t5 text2text-generation generated_from_trainer en autotrain_compatible endpoints_compatible text-generation-inference region:us