Adding Evaluation Results
#2
by
leaderboard-pr-bot - opened
README.md
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@@ -19,4 +19,17 @@ output = model.generate(input_ids, max_length = 1000, num_beams=1)
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output_text = tokenizer.decode(output[0], skip_special_tokens=True)
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# Print the generated text
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print(output_text)
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output_text = tokenizer.decode(output[0], skip_special_tokens=True)
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# Print the generated text
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print(output_text)
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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_roneneldan__TinyStories-3M)
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| Metric | Value |
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|-----------------------|---------------------------|
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| Avg. | 24.18 |
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| ARC (25-shot) | 22.01 |
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| HellaSwag (10-shot) | 25.58 |
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| MMLU (5-shot) | 24.99 |
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| TruthfulQA (0-shot) | 47.33 |
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| Winogrande (5-shot) | 49.25 |
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| GSM8K (5-shot) | 0.0 |
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| DROP (3-shot) | 0.1 |
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