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# Model_1A_Clinton

This model is a fine-tuned version of [gpt2-medium](https://huggingface.co/gpt2-medium) on a large corpus of William J. Clinton's second term discourse on terrorism.

## To Prompt the Model

Try entering single words or short phrases, such as "terrorism is" or "national security" or "our foreign policy should be", 
in the dialogue box on the right hand side of this page. 
Then click on 'compute' and wait for the results. The model will take a few seconds to load on your first prompt.

## Intended uses & limitations

This model is intended as an experiment on the utility of LLMs for discourse analysis on a specific corpus of political rhetoric.


### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5.0

### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0

{"license": "mit", "tags": ["generated_from_trainer"], "base_model": "gpt2-medium", "model-index": [{"name": "Model_1A_Clinton", "results": []}]}
transformers tensorboard safetensors gpt2 text-generation generated_from_trainer base_model:gpt2-medium license:mit autotrain_compatible endpoints_compatible text-generation-inference region:us