Text Generation
Transformers
Safetensors
gpt_bigcode
trl
reward-trainer
Generated from Trainer
text-generation-inference
rm_checkpoint
This model is a fine-tuned version of bigcode/tiny_starcoder_py 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: 0.0003
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- num_epochs: 5
Training results
Framework versions
- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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Model tree for nahed22/rm_checkpoint
Base model
bigcode/tiny_starcoder_py
Install from pip and serve model
# Install vLLM from pip: pip install vllm# Start the vLLM server: vllm serve "nahed22/rm_checkpoint"# Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "nahed22/rm_checkpoint", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'