diff --git a/.nojekyll b/.nojekyll index 9ebb89593..6f74907ec 100644 --- a/.nojekyll +++ b/.nojekyll @@ -1 +1 @@ -bdfd9605 \ No newline at end of file +890b059b \ No newline at end of file diff --git a/docs/dataset-formats/index.html b/docs/dataset-formats/index.html index ffd30daa8..05e1d69be 100644 --- a/docs/dataset-formats/index.html +++ b/docs/dataset-formats/index.html @@ -399,7 +399,7 @@ Description - + Pre-training @@ -407,7 +407,7 @@ Description Data format for a pre-training completion task. - + Instruction Tuning @@ -415,7 +415,7 @@ Description Instruction tuning formats for supervised fine-tuning. - + Conversation @@ -423,7 +423,7 @@ Description Conversation format for supervised fine-tuning. - + Stepwise Supervised Format @@ -431,7 +431,7 @@ Description Format for datasets with stepwise completions and labels - + Template-Free @@ -439,7 +439,7 @@ Description Construct prompts without a template. - + Custom Pre-Tokenized Dataset diff --git a/docs/rlhf.html b/docs/rlhf.html index a3da70682..c6046fc4b 100644 --- a/docs/rlhf.html +++ b/docs/rlhf.html @@ -385,7 +385,7 @@ pre > code.sourceCode > span > a:first-child::before { text-decoration: underlin type: chatml.intel - path: argilla/ultrafeedback-binarized-preferences split: train - type: chatml.argilla + type: chatml

IPO

diff --git a/search.json b/search.json index 35020b75f..49d78c8fe 100644 --- a/search.json +++ b/search.json @@ -704,6 +704,13 @@ "section": "", "text": "Acknowledgements\nPortions of this Cut Cross Entropy Software may utilize the following copyrighted material, the use of which is hereby acknowledged.\n\nPyTorch\nFrom PyTorch:\n\nCopyright (c) 2016- Facebook, Inc (Adam Paszke)\nCopyright (c) 2014- Facebook, Inc (Soumith Chintala)\nCopyright (c) 2011-2014 Idiap Research Institute (Ronan Collobert)\nCopyright (c) 2012-2014 Deepmind Technologies (Koray Kavukcuoglu)\nCopyright (c) 2011-2012 NEC Laboratories America (Koray Kavukcuoglu)\nCopyright (c) 2011-2013 NYU (Clement Farabet)\nCopyright (c) 2006-2010 NEC Laboratories America (Ronan Collobert, Leon Bottou, Iain Melvin, Jason Weston)\nCopyright (c) 2006 Idiap Research Institute (Samy Bengio)\nCopyright (c) 2001-2004 Idiap Research Institute (Ronan Collobert, Samy Bengio, Johnny Mariethoz)\n\nFrom Caffe2:\n\nCopyright (c) 2016-present, Facebook Inc. All rights reserved.\n\nAll contributions by Facebook:\nCopyright (c) 2016 Facebook Inc.\n\nAll contributions by Google:\nCopyright (c) 2015 Google Inc.\nAll rights reserved.\n\nAll contributions by Yangqing Jia:\nCopyright (c) 2015 Yangqing Jia\nAll rights reserved.\n\nAll contributions by Kakao Brain:\nCopyright 2019-2020 Kakao Brain\n\nAll contributions by Cruise LLC:\nCopyright (c) 2022 Cruise LLC.\nAll rights reserved.\n\nAll contributions by Arm:\nCopyright (c) 2021, 2023-2024 Arm Limited and/or its affiliates\n\nAll contributions from Caffe:\nCopyright(c) 2013, 2014, 2015, the respective contributors\nAll rights reserved.\n\nAll other contributions:\nCopyright(c) 2015, 2016 the respective contributors\nAll rights reserved.\n\nCaffe2 uses a copyright model similar to Caffe: each contributor holds\ncopyright over their contributions to Caffe2. The project versioning records\nall such contribution and copyright details. If a contributor wants to further\nmark their specific copyright on a particular contribution, they should\nindicate their copyright solely in the commit message of the change when it is\ncommitted.\n\nAll rights reserved.\n\nRedistribution and use in source and binary forms, with or without\nmodification, are permitted provided that the following conditions are met:\n\n1. Redistributions of source code must retain the above copyright\nnotice, this list of conditions and the following disclaimer.\n\n2. Redistributions in binary form must reproduce the above copyright\nnotice, this list of conditions and the following disclaimer in the\ndocumentation and/or other materials provided with the distribution.\n\n3. 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Various methods include, but not limited to:\n\nProximal Policy Optimization (PPO) (not yet supported in axolotl)\nDirect Preference Optimization (DPO)\nIdentity Preference Optimization (IPO)\n\n\n\nRLHF using Axolotl\n\n[!IMPORTANT] This is a BETA feature and many features are not fully implemented. You are encouraged to open new PRs to improve the integration and functionality.\n\nThe various RL training methods are implemented in trl and wrapped via axolotl. Below are various examples with how you can use various preference datasets to train models that use ChatML\n\nDPO\nrl: dpo\ndatasets:\n - path: Intel/orca_dpo_pairs\n split: train\n type: chatml.intel\n - path: argilla/ultrafeedback-binarized-preferences\n split: train\n type: chatml.argilla\n\n\nIPO\nrl: ipo\n\n\nORPO\nPaper: https://arxiv.org/abs/2403.07691\nrl: orpo\norpo_alpha: 0.1\nremove_unused_columns: false\n\nchat_template: chatml\ndatasets:\n - path: argilla/ultrafeedback-binarized-preferences-cleaned\n type: chat_template.argilla\n\n\nKTO\nrl: kto\nrl_beta: 0.5\nkto_desirable_weight: 0.2\n\nremove_unused_columns: false\n\ndatasets:\n - path: argilla/ultrafeedback-binarized-preferences-cleaned-kto\n type: llama3.ultra\n split: train\n\ngradient_checkpointing: true\ngradient_checkpointing_kwargs:\n use_reentrant: true\n\n\nUsing local dataset files\ndatasets:\n - ds_type: json\n data_files:\n - orca_rlhf.jsonl\n split: train\n type: chatml.intel\n\n\nTrl autounwrap for peft\nTrl supports autounwrapping peft models, so that a ref model does not need to be additionally loaded, leading to less VRAM needed. This is on by default. To turn it off, pass the following config.\n# load ref model when adapter training.\nrl_adapter_ref_model: true", + "text": "Overview\nReinforcement Learning from Human Feedback is a method whereby a language model is optimized from data using human feedback. Various methods include, but not limited to:\n\nProximal Policy Optimization (PPO) (not yet supported in axolotl)\nDirect Preference Optimization (DPO)\nIdentity Preference Optimization (IPO)\n\n\n\nRLHF using Axolotl\n\n[!IMPORTANT] This is a BETA feature and many features are not fully implemented. You are encouraged to open new PRs to improve the integration and functionality.\n\nThe various RL training methods are implemented in trl and wrapped via axolotl. Below are various examples with how you can use various preference datasets to train models that use ChatML\n\nDPO\nrl: dpo\ndatasets:\n - path: Intel/orca_dpo_pairs\n split: train\n type: chatml.intel\n - path: argilla/ultrafeedback-binarized-preferences\n split: train\n type: chatml\n\n\nIPO\nrl: ipo\n\n\nORPO\nPaper: https://arxiv.org/abs/2403.07691\nrl: orpo\norpo_alpha: 0.1\nremove_unused_columns: false\n\nchat_template: chatml\ndatasets:\n - path: argilla/ultrafeedback-binarized-preferences-cleaned\n type: chat_template.argilla\n\n\nKTO\nrl: kto\nrl_beta: 0.5\nkto_desirable_weight: 0.2\n\nremove_unused_columns: false\n\ndatasets:\n - path: argilla/ultrafeedback-binarized-preferences-cleaned-kto\n type: llama3.ultra\n split: train\n\ngradient_checkpointing: true\ngradient_checkpointing_kwargs:\n use_reentrant: true\n\n\nUsing local dataset files\ndatasets:\n - ds_type: json\n data_files:\n - orca_rlhf.jsonl\n split: train\n type: chatml.intel\n\n\nTrl autounwrap for peft\nTrl supports autounwrapping peft models, so that a ref model does not need to be additionally loaded, leading to less VRAM needed. This is on by default. 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AXOLOTL COMMUNITY LICENSE AGREEMENT

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This Axolotl Community License Agreement (“Agreement”) is entered into by and between Axolotl AI Corp. (“Axolotl”) and any individual or entity (“Licensee”) who wishes to use the Software (as defined below) in accordance with the terms and conditions set forth in this Agreement.

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  1. Definitions 1.1 “Licensee” refers to any individual or entity who has obtained a copy of the Software under this Agreement. 1.2 “Plugin Integration” means independent integration software modules which may or may not be offered by Axolotl, which may be licensed separately by their respective authors and/or licensors. 1.3 “Software” refers to the specific sub-directory of the Axolotl, Inc. software located at https://github.com/axolotl-ai-cloud/axolotl/tree/main/src/axolotl/integrations and its subdirectories which permits Plugin Integrations to integrate with the Axolotl service.
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  2. Grant of License 2.1 Axolotl hereby grants Licensee a worldwide, non-exclusive, royalty-free, license to use, copy, modify, merge, publish, distribute, sublicense, and/or otherwise exploit the Software, subject to the following conditions: - Licensee must comply with all the terms and conditions of this Agreement. - Licensee must include the original copyright notice and disclaimer of warranty in all copies or substantial portions of the Software. 2.2 Licensee may use the Software for any lawful purpose, except as restricted in Section 3.
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  3. Restrictions 3.1 Licensee shall not use the Software for any activity that constitutes a commercial activity of offering for free or for sale any services, platform, or equivalent to third parties for the purposes of allowing such third parties to fine-tune artificial intelligence models. 3.2 Licensee shall not: - Use the Software for any illegal or unauthorized purpose. - Reverse engineer, decompile, or disassemble the Software. - Remove or modify any copyright, trademark, or other proprietary notices contained in the Software. - Use the Software in a way that could damage, disable, overburden, or impair the functionality of the Software or interfere with any third-party use of the Software. 3.3 Axolotl reserves the right to restrict certain Plugin Integrations for use with the Software. To the extent Licensee integrates a permitted, applicable Plugin Integration with the Software, Licensee shall comply with any additional terms and conditions imposed by the licensors of such Plugin Integration for use of such Plugin Integrations. Licensee shall contact Axolotl if it has questions about whether its use of the Software falls beyond the scope of this Agreement.
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  4. Intellectual Property Rights 4.1 Axolotl and its contributors retain all intellectual property rights in and to the Software. Licensee acknowledges that this Agreement does not transfer any ownership rights or intellectual property rights to Licensee.
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  5. Disclaimer of Warranty 5.1 THE SOFTWARE IS PROVIDED “AS IS,” WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, AND NON-INFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES, OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT, OR OTHERWISE, ARISING FROM, OUT OF, OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
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  6. Termination 6.1 Axolotl may terminate this Agreement at any time if Licensee fails to comply with any of the terms and conditions set forth herein. Upon termination, Licensee shall cease all use of the Software and destroy any copies in its possession.
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  7. Governing Law 7.1 This Agreement shall be governed by and construed in accordance with the laws of the State of California, without regards to conflicts of laws provisions thereof.
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  8. Entire Agreement 8.1 This Agreement constitutes the entire agreement between Axolotl and Licensee with respect to the subject matter hereof and supersedes all prior or contemporaneous understandings or agreements between the parties concerning the Software, whether written or oral. Axolotl may update the terms of this Agreement from time to time, and Licensee’s continued use of the Software after any such updates shall constitute acceptance of updated terms on a go-forward basis. Axolotl will use commercially reasonable efforts to provide Licensee notice of any material updates. By using the Software, Licensee acknowledges that it has read, understood, and agrees to be bound by the terms and conditions of this Agreement.
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This Agreement was last updated on August 23, 2024.

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