GPT 2 dolly GPT 2 dolly is an instruction fine tuned model based on the GPT 2 transformer architecture. Benchmark Metrics Metric GPT 2 dolly GPT 2 (base) Avg. 30.91 29.99 ARC (25 shot) 22.70 21.84 HellaSwag (10 shot) 30.15 31.6 MMLU (5 shot) 25.81 25.86 TruthfulQA (0 shot) 44.97 40.67 We use state of the art Language Model Evaluation Harness to run the benchmark tests above, using the same version as the HuggingFace LLM Leaderboard. Please see below for detailed instructions on reproducing benchmark results. Model Details Trained by : Luiz G A Alves Model type: GPT 2 dolly is an auto regressive language model based on the GPT 2 transformer architecture. Language(s) : English How to use: or, you can load the model direclty using: Training Dataset lgaalves/gpt2 dolly trained using the Databricks Dolly dataset databricks/databricks dolly 15k . Training Procedure lgaalves/gpt2 dolly was instruction fine tuned using LoRA on 1 T4 GPU on Google Colab. It took about 1.5 hours to train it. Intended uses, limitations & biases You can use the raw model for text generation or fine tune it to a downstream task. The model was not extensively tested and may produce false information. It contains…
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