Text Generation
Transformers
TensorBoard
Safetensors
gpt2
Generated from Trainer
text-generation-inference
# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM
tokenizer = AutoTokenizer.from_pretrained("GPT-JF/Model_1B_Bush")
model = AutoModelForCausalLM.from_pretrained("GPT-JF/Model_1B_Bush")Quick Links
Model_1B_Bush
This model is a fine-tuned version of gpt2 on a large corpus of George W. Bush's first 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 4.36.0.dev0
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0
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Model tree for GPT-JF/Model_1B_Bush
Base model
openai-community/gpt2
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="GPT-JF/Model_1B_Bush")