Add pipeline tag and Github link
#1
by
nielsr
HF Staff
- opened
README.md
CHANGED
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@@ -1,11 +1,12 @@
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---
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library_name: transformers
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base_model: princeton-nlp/Llama-3-Base-8B-SFT
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tags:
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- alignment-handbook
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- generated_from_trainer
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- HuggingFaceH4/ultrafeedback_binarized
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model-index:
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- name: llama-3-8b-dpo-ultrafeedback-decrease_linear-1.0to0.95
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results: []
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@@ -16,7 +17,7 @@ should probably proofread and complete it, then remove this comment. -->
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# llama-3-8b-dpo-ultrafeedback-decrease_linear-1.0to0.95
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This is
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This model is a fine-tuned version of [princeton-nlp/Llama-3-Base-8B-SFT](https://huggingface.co/princeton-nlp/Llama-3-Base-8B-SFT) on the HuggingFaceH4/ultrafeedback_binarized dataset.
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@@ -83,4 +84,4 @@ The following hyperparameters were used during training:
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- Transformers 4.44.2
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- Pytorch 2.4.0+cu121
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- Datasets 2.21.0
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- Tokenizers 0.19.1
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---
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base_model: princeton-nlp/Llama-3-Base-8B-SFT
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datasets:
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- HuggingFaceH4/ultrafeedback_binarized
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library_name: transformers
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tags:
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- alignment-handbook
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- generated_from_trainer
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pipeline_tag: text-generation
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model-index:
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- name: llama-3-8b-dpo-ultrafeedback-decrease_linear-1.0to0.95
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results: []
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# llama-3-8b-dpo-ultrafeedback-decrease_linear-1.0to0.95
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This model is released from the preprint: [DPO-Shift: Shifting the Distribution of Direct Preference Optimization](https://arxiv.org/abs/2502.07599). For more details, please refer to our [repository](https://github.com/Meaquadddd/DPO-Shift).
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This model is a fine-tuned version of [princeton-nlp/Llama-3-Base-8B-SFT](https://huggingface.co/princeton-nlp/Llama-3-Base-8B-SFT) on the HuggingFaceH4/ultrafeedback_binarized dataset.
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- Transformers 4.44.2
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- Pytorch 2.4.0+cu121
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- Datasets 2.21.0
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- Tokenizers 0.19.1
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