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core2
This model is a fine-tuned version of ./core2/ on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.2227
- Accuracy: 0.4777
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: 0.001
- train_batch_size: 1
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 512
- total_train_batch_size: 512
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- num_epochs: 1.0
Training results
Framework versions
- Transformers 4.34.0.dev0
- Pytorch 2.0.1+cu117
- Datasets 2.14.5
- Tokenizers 0.13.3
- Downloads last month
- 5
Install from pip and serve model
# Install vLLM from pip: pip install vllm# Start the vLLM server: vllm serve "ccore/LLAMA2-446m"# Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "ccore/LLAMA2-446m", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'