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README.md
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# ifable/gemma-2-Ifable-9B
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It achieves the following results on the evaluation set:
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- Loss: 1.0163
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- Logps/chosen: -2.1682
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- Logits/rejected: -17.0475
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- Logits/chosen: -12.0041
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- Sft Loss: 0.0184
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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- Pytorch 2.3.0a0+ebedce2
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- Datasets 2.20.0
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- Tokenizers 0.19.1
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# ifable/gemma-2-Ifable-9B
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## Training and evaluation data
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- Gutenberg: https://huggingface.co/datasets/jondurbin/gutenberg-dpo-v0.1
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- Carefully curated proprietary creative writing dataset
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## Training procedure
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Training method: SimPO (GitHub - princeton-nlp/SimPO: SimPO: Simple Preference Optimization with a Reference-Free Reward)
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It achieves the following results on the evaluation set:
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- Loss: 1.0163
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- Logps/chosen: -2.1682
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- Logits/rejected: -17.0475
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- Logits/chosen: -12.0041
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### Training hyperparameters
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- Pytorch 2.3.0a0+ebedce2
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- Datasets 2.20.0
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- Tokenizers 0.19.1
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We are looking for product manager and operations maganers to build applications through our model, and also open for business cooperation, and also AI engineer to join us, contact with : contact@ifable.ai
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