Text Generation
Transformers
PyTorch
Safetensors
English
gpt2
text-generation-inference
Inference Endpoints

Adding Evaluation Results

#2
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  1. README.md +14 -1
README.md CHANGED
@@ -68,4 +68,17 @@ model = AutoModelForCausalLM.from_pretrained("lgaalves/gpt2_open-platypus")
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  # Intended uses, limitations & biases
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- 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 a lot of unfiltered content from the internet, which is far from neutral.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  # Intended uses, limitations & biases
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+ 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 a lot of unfiltered content from the internet, which is far from neutral.
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+ # [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
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+ Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_lgaalves__gpt2_guanaco-dolly-platypus)
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+ | Metric | Value |
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+ |-----------------------|---------------------------|
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+ | Avg. | 25.15 |
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+ | ARC (25-shot) | 23.55 |
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+ | HellaSwag (10-shot) | 31.03 |
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+ | MMLU (5-shot) | 26.4 |
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+ | TruthfulQA (0-shot) | 40.02 |
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+ | Winogrande (5-shot) | 50.12 |
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+ | GSM8K (5-shot) | 0.0 |
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+ | DROP (3-shot) | 4.96 |