Text Generation
Transformers
TensorBoard
Safetensors
gpt2
trl
dpo
Generated from Trainer
text-generation-inference
checkpoints
This model is a fine-tuned version of gpt2 on the None dataset.
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0
Training results
Framework versions
- Transformers 4.38.1
- Pytorch 2.3.0+cpu
- Datasets 2.3.2
- Tokenizers 0.15.2
- Downloads last month
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Model tree for Luca-Engel/checkpoints
Base model
openai-community/gpt2
Install from pip and serve model
# Install vLLM from pip: pip install vllm# Start the vLLM server: vllm serve "Luca-Engel/checkpoints"# Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Luca-Engel/checkpoints", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'