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README.md
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This model is a fine-tuned version of [google/gemma-2b](https://huggingface.co/google/gemma-2b) on the [samvaad-hi-v1 dataset](https://huggingface.co/datasets/sarvamai/samvaad-hi-v1).
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### Training hyperparameters
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- Pytorch 2.0.1+cu118
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- Datasets 2.16.1
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- Tokenizers 0.15.0
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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_Tensoic__Gemma-2B-Samvaad)
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| Metric |Value|
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|Avg. |42.55|
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|AI2 Reasoning Challenge (25-Shot)|46.59|
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|HellaSwag (10-Shot) |68.17|
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|MMLU (5-Shot) |33.09|
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|TruthfulQA (0-shot) |39.95|
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|Winogrande (5-shot) |61.64|
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|GSM8k (5-shot) | 5.84|
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This model is a fine-tuned version of [google/gemma-2b](https://huggingface.co/google/gemma-2b) on the [samvaad-hi-v1 dataset](https://huggingface.co/datasets/sarvamai/samvaad-hi-v1).
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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_Tensoic__Gemma-2B-Samvaad)
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| Metric |Value|
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|---------------------------------|----:|
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|Avg. |42.55|
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|AI2 Reasoning Challenge (25-Shot)|46.59|
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|HellaSwag (10-Shot) |68.17|
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|MMLU (5-Shot) |33.09|
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|TruthfulQA (0-shot) |39.95|
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|Winogrande (5-shot) |61.64|
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|GSM8k (5-shot) | 5.84|
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### Training hyperparameters
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- Pytorch 2.0.1+cu118
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- Datasets 2.16.1
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- Tokenizers 0.15.0
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