Repetition penalty transformers.

Repetition penalty transformers 0b1. 5 penalty, where hallucination_penalty = 2 and is a value the PR author used), these are the ids that Oct 3, 2024 · 在使用 LLM 进行推理的时候，我们经常会看到一些推理超参数，比如 temperature 和 repetition penalty 等等。一般来讲，temperature 对应着 LLM 的输出随机性，而 repetition penalty 则会在一定程度上阻止 LLM 陷入无限循环的困境。 May 15, 2025 · Lower repetition_penalty (1. An exponential penalty on sequences that are not in the original input. I have used GPT-3 as a base model. cpp's tokenizer bug that messes up EOS and other special tokens is fixed - ggml-org/llama. If the rep penalty is high, this can result in funky outputs. md at main · NVIDIA/FasterTransformer Note that diversity_penalty is only effective if group beam search is enabled. encoder_repetition_penalty (float, optional, defaults to 1. local. pip install tensorflow==2. 0 to 1. Sep 18, 2023 · 请注意，只有当 group beam search 启用时，diversity_penalty 才有效。 repetition_penalty (浮点数，可选，默认为 1. 12. 문장A: GPT3는 문장을 생성한다문장을 확률로 표현하고 싶을때, 위 문장의 확률은 P(GPT3) P 5. So for example, if you want to generate code, there is going to be a lot of repetition, if you want to generate markdown table, there is going to be even more repetition, similar for HTML, etc. 1, and making the repetition penalty too high makes the answer nonsense. 3 情况能有所缓解，建议 1. 0 and 2. pad_token_id (int, optional) — The id of the padding token. Mar 12, 2023 · Language models, especially when undertrained, tend to repeat what was previously generated. Default: 64; seed: The seed value to use for sampling tokens. A frequency, or repetition, penalty, which is a decimal between -2. Oct 21, 2024 · Hey @ruian1!. 0) — 编码器重复惩罚的参数。对于不 Dec 17, 2023 · Hi, I am trying to use meta-llama/llama-2-7b-chat-hf model for text generation. The length penalty is applied to Contrastive search is a decoding strategy that aims to reduce repetition even while generating longer sequences. 0是没有惩罚，这个地方可以再确认一下嘛~~ DLKcat开发细则（自用）古罗天: 请问您找到了这方面讲解了嘛，谢谢 Contrastive search is a decoding strategy that aims to reduce repetition even while generating longer sequences. To prevent this, (an almost forgotten) large LM CTRL introduced the repetition penalty that is now implemented in Huggingface Transformers. 0 表示没有惩罚。有关更多详细信息，请参阅 this paper。 encoder_repetition_penalty (浮点数，可选，默认为 1. This remains the same with repetition_penalty=1. 0) - 对长度的指数惩罚，用于beam-based的生成。 Aug 7, 2020 · Thus, I want to directly force the decoder to avoid the repetition of ngrams between generated sentences during testing. pip uninstall tensorflow. max_length: int: 20: The max length of the sequence to be generated. I have some models, e. LogitsWarper` that performs top-p, i. repetition_penalty (float, optional, defaults to 1. 15, 1. pad_token_id (int, optional) – The id of the padding token. 0)：编码器重复惩罚参数。 Apr 6, 2024 · The class transformers. Default to 1. 简介：本文深入探讨了Transformers大模型库中的repetition_penalty惩罚系数，详细介绍了其作用原理、应用场景以及如何通过调整该系数来优化模型的输出结果。 Jul 25, 2022 · repetition_penalty (float, optional, defaults to 1. word2vec_db（embeddingの計算に使用されるvectorstore。从上述的实现中可以看到，当top_p较高时比如 0. テキスト生成「テキスト生成」は、与えられたテキストに続くテキストを生成するタスクですサポートモデルは、次のとおりです。・CTRL ・GPT-2 ・OpenAI-GPT ・Transformer-XL ・XLM ・XLNet 「テキスト生成」の最小限のコードは Jul 26, 2023 · Adding a repetition_penalty of 1. See this paper for more details. 0) — 重复惩罚的参数。1. 1) to allow some stylistic repetition; Code Generation: Lower temperature (0. generation_config. As per this forum post sometimes it's helpful to have a parameter that can increase the diversity amongst different generated sentences. Without repetition_penalty stuff technically works, but because of repetitions it doesn't makes 参数：repetition_penalty（float，取值范围>0）。默认为1，即代表不进行惩罚。值越大，即对重复的字做出更大的惩罚. Args: repetition_penalty (`float`): The parameter for repetition penalty. LongTensor) — The encoder_input_ids that should be repeated within the decoder ids. 0 if the config does not set any value) — The parameter for repetition penalty. 0) — Exponential penalty to the length that is used with beam-based penalty (float) — The parameter for repetition penalty. 5 表示鼓励新词出现）。 repetition_penalty: 对新 token 的惩罚值，基于其在提示和生成文本中的出现（如 1. pad_token_id – (optional) int Padding token. generate. 2) through my own comparisons - incidentally But repetition penalty is not a silver bullet, unfortunately, because as I said in the beginning, there is a lot of repetition in our ordinary lives. 5) to avoid redundant code; Dialogue Generation: Jul 23, 2024 · 在自然语言处理和深度学习中，特别是在使用生成式预训练模型（如GPT，Generative Pre-trained Transformer）进行文本生成时，GPT_temperature（或称为温度参数，temperature parameter）是一个重要的概念。 Note that diversity_penalty is only effective if group beam search is enabled. Note that diversity_penalty is only effective if group beam search is enabled. It is by far the easiest way to get However, according to the class docstring, Add hallucination filter in generate() #18354 (comment), and the code with increases the score of tokens found within the original input ids (e. LogitsProcessor` that enforces contrained generation and is useful for prefix-conditioned constrained generation. 2). 2 ・Sentencepiece 0. Config Mar 2, 2025 · Extension of Transformers library for Context-Free Grammar Constrained Decoding with EBNF grammars May 27, 2024 · repetition_penalty：大于等于1. For answers that do generate, they are copied word for word from the given context. 注意环境的问题. Answer. config. max_length min_length = min_length if min_length is not May 15, 2025 · Lower repetition_penalty (1. I love the transformers library. 小样本，训练数据小的时候可能需要 Apr 7, 2021 · 「rinna」の日本語GPT-2モデルが公開されたので、推論を試してみました。・Huggingface Transformers 4. 0)：编码器重复惩罚参数。 Aug 28, 2024 · 如果设置为整数列表，则它应该是介于 0 和模型中层总数之间的层索引列表。第 0 层是单词嵌入，第 1 层是第一个 transformer 层，依此类推。建议使用 set 来减少 DoLa 解码中的重复。 repetition_penalty = 1. 1 算法原理. co. 0 时，较长的序列得到更大的惩罚，鼓励生成较短的序列; length_penalty < 1. Just a few weeks ago, when I changed the repetition_penalty, I could see the output change. 0 means no penalty. 3) for more precise and correct code; Lower top_p (0. 0)：重复惩罚参数。1. Jan 7, 2024 · transformersのgenerateメソッドを使っていて気になったのでメモ。参考文献1を確認したところ論文を見てねとのことだったので、参考文献2の論文を拝見しました。すごくわかりやすい論文やんって思いました！ repetition penaltyを導入する動機 Jun 2, 2023 · Now you can pass anything through the transformers generate, like repetition_penalty. 实际上，当前已经出现了许多遍题，例如top_k、top_p、temperature以及repetition_penalty等采样策略，例如，我们常常会构造这样的请求，在选择时候，这几个参数会变成一个and的执行关系，互相约束以形成答案：之后AttributeError: module 'transformers' has no attribute 'WarmupLinearSchedule' 终于成功了，transformers==2. 0 and 1. 0: The paramater for encoder_repetition_penalty. For example, it penalizes every token that’s repeating, even tokens in the middle/end of a word, stopwords, and punctuation. @torch. encoder_input_ids (torch. 0 表示没有惩罚。有关更多详细信息，请参见此论文。 encoder_repetition_penalty (float, optional, defaults to 1. generate는 모든 자동 회귀 auto-regressive 언어 모델에 적용 가능합니다. In my own experience and others as well, DRY appears to be significantly better at preventing repetition compared to previous samplers like repetition_penalty or no_repeat_ngram_size. (2019) の学習目的でも使用されています。 Note that diversity_penalty is only effective if group beam search is enabled. Just note that some parameters that change the output of the generate command would break things I think (like num_beams). repetition_penalty参数用于重复惩罚，通过修改生成文本时的概率分布来实现，目标是在这个概率分布中对先前重复生成过的token进行惩罚（降低概率），以减少生成文本中的重复性。一般repetition_penalty参数是惩罚，概率值 * (1/repetition_penalty)。 3. I've done a lot of testing with repetition penalty values 1. """ # length of generated sentences / unfinished sentences unfinished_sents = input_ids. 0 作者：皮皮雷来源：投稿编辑：学姐这篇文章以中文通用领域文本生成为例，介绍四种常用的模型调用方法。在中文文本生成领域，huggingface上主要有以下比较热门的pytorch-based预训练模型：本文用到了其中的uer/g… Dec 21, 2020 · This article works best when you can try out the different methods yourself — run my notebook on deepnote. Steps to reproduce. Values > 0 encourage the model to use new tokens, while values < 0 encourage the model to repeat tokens. 1 版本的源码出发，为你解读 temperature、top-p、repetition penalty 和 top-k 的原理及作用，助你深入理解这些超参数如何影响 LLM 的推理过程，让你轻松掌握 LLM 推理的奥秘！ Oct 17, 2023 · 4. 0，重复词惩罚。论文：CTRL: A CONDITIONAL TRANSFORMER LANGUAGE MODEL FOR CONTROLLABLE GENERATION. It is not being applied. 그 값은 1. min_length [1] or [batch_size] CPU Oh, no. 91 前回 1. Yes, unfortunately the model has different shapes for input vs output embeddings (see #33819), thus it causes repetition penalty to fail because we try to gather logits for all input ids. min_length [1] or [batch_size] CPU Saved searches Use saved searches to filter your results more quickly repetition_penalty (float, optional, defaults to 1. 0 in the model parameters in . The penalty term is controlled by a hyperparameter penalty_weight. Default to 2. 0）— encoder_repetition_penalty的参数。对于不在原始输入 Mar 10, 2012 · This may be the cause! mt5 is an encoder-decoder model, have you tried the encoder_repetition_penalty flag instead? Or maybe both encoder_repetition_penalty and repetition_penalty, depending on your use case (the former acts on the input text of mt5, the later acts on the generated text). encoder_repetition_penalty (float, optional, defaults to 1. generate()源码如果文字版看不懂还有视频：逐行讲解大模型解码所有超参数（temperature、top-k、top-p等所有参数）【上】 Args: repetition_penalty (: `transformers. json · adenhaus/mt5-small-tata at main which have repetition_penalty set. 0 in order to encourage the model to produce longer sequences. repetition_penalty: The repetition penalty to use for sampling. Jan 26, 2024 · If you’re using a model that accepts GenerationConfig from transformers, there are several ways to control the generation process, such as the repetition_penalty or no_repeat_ngram_size Jul 26, 2023 · Adding a repetition_penalty of 1. g. Yes, I also encountered the issue of sampling. 2 KVCache. Mar 10, 2014 · Is it correct that the repetition penalty is applied to the input_ids encompassing all inputs and outputs, rather than solely on the generated tokens? #36642 Open 3 of 4 tasks Apr 14, 2024 · repetition_penalty. Jul 20, 2023 · I found it is hard to get the same pass@1 using vLLM and HF transformers. pad_token_id (int, optional) — The id of the padding Jul 25, 2022 · repetition_penalty (float, optional, defaults to 1. 0) — The parameter for encoder_repetition_penalty. repetition_penalty 参数影响模型在生成文本时对已生成词的偏好。在默认情况下，模型在生成下一个词时，会根据训练数据中词的频率和上下文来预测下一个词的概率。然而，这种机制有时会导致模型生成重复的词或短语，特别是在长文本生成中。当设置 repetition_penalty 参数时，模型在计算下一个词的概率时，会降低已生成词的概率，从而减少重复。 Sep 3, 2024 · In the new loss function, we calculate the standard cross-entropy loss and add a penalty term for tokens that are repeated from the input sequence. 0) — The paramater for encoder_repetition_penalty. GenerationConfig has two parameters that you could use to deal with this: repetition_penalty. 0 in order to encourage the model to generate shorter sequences, to a value > 1. Oct 18, 2023 · If you think no repetition penalty would be better (now that llama. After an extensive repetition penalty test some time ago, I arrived at my preferred value of 1. 0表示无惩罚。详见这篇论文以获取更多细节。 encoder_repetition_penalty（float，可选，默认为1. 1-1. 1. Oct 25, 2022 · 本文深入探讨了文本生成的多种方法，从传统的基于统计和模板的技术到现代的神经网络模型，尤其是LSTM和Transformer架构。文章还详细介绍了大型预训练模型如GPT在文本生成中的应用，并提供了Python和PyTorch的实现代码。 Saved searches Use saved searches to filter your results more quickly Jul 21, 2023 · 注意，仅在启用组beam search时diversity_penalty才有效。 repetition_penalty（float，可选，默认为1. Exclusive with repetition_penalty. 2 表示鼓励使用新词）。 temperature: 控制采样的随机性（如 0. Default to specicic model pad_token_id or None if it does not exist. 0に設定しています。 do_sample=True Trueにすることでサンプリングを有効化します。 num_return_sequences 请注意，只有当 group beam search 启用时，diversity_penalty 才有效。 repetition_penalty (浮点数，可选，默认为 1. The ‘generate’ function has two parameters: repetition_penalty, no_repeat_ngram_size. repetition_penalty – (optional) float The parameter for repetition penalty. Default to 20. 0 이상이어야 하며 클 수록 페널티가 세게 적용됩니다. An Implement repetition_penalty parameter for LLM inference with mlx_lm. Repetition penalty applied to logits for both beam search and sampling. Nov 11, 2024 · This bug introduces a pretty hefty frequency_penalty = 1. It is described in an unnumbered equation in Section 4. encoder_repetition_penalty : <code> number </code> The paramater for encoder_repetition_penalty. `OpenAIGPTLMHeadModel`, `XLNetLMHeadModel`, `GPT2LMHeadModel`, `CTRLLMHeadModel`, `T5WithLMHeadModel`, `TransfoXLLMHeadModel`, `XLMWithLMHeadModel`, `BartForConditionalGeneration` )") max_length = max_length if max_length is not None else self. 2 or 1. Higher the penalty weight, higher the penalty for duplicates. 3 to 1. I have finally gotten it working okay, but only by turning up the repetition penalty to more than 1. [encoder_repetition_penalty] number: 1. For example, if you take the sentence: “The United States (U. 9，这意味着前 90% 的概率的token会被考虑在抽样中，这样会允许更多的token参与抽样，增加生成文本的多样性；当top_p较低时比如比如 0. special_tokens_list: list [] The list of special tokens to be added to the model tokenizer top_k: int: None: Filter top-k tokens before sampling (<=0: no filtering) top_p: float: None Thanks. 0 and infinity. from_pretrained [repetition_penalty] number: 1. Dec 3, 2022 · Transformersを使うと、GPTの事前学習モデルを使って簡単に文章生成ができます。モデル自体は同じでも色々なメソッドが用意されていて、用途に応じて適切なインターフェースを選ぶことでより便利に… Mar 10, 2023 · GPT系列模型基于Transformer架构，采用自注意力机制来处理输入序列，能够高效地捕捉文本中的上下文信息。通过随机初始化参数并在大量文本数据上进行无监督学习，模型能够自动学习到语言的内在结构和模式。 "Please use another model class (e. 1. Exclusive with presence_penalty. bos_token_id – (optional) int BOS token. Set to values < 1. I initially considered that a problem, but since repetition penalty doesn't increase with repeat occurrences, it turned out to work fine (at least with repetition penalty <1. 0 ，指定模型的生成方法中， beam-based 方法中针对长度的指数惩罚。它以指数的形式作用在序列长度上，然后 Dec 1, 2021 · 在huggingface中，有关trainer内容实在太多了，我将布局6篇文章来构建有关内容。第一篇文章介绍参数；第二篇文章给出一个完整Demo，并介绍trainner源码的整体结构，呈现一个整体框架；第三篇文章介绍给出数据构造、优化器构建方法源码解读；第四篇篇文章介绍epoch外循环训练相关源码解读；第五篇 class TopPLogitsWarper (LogitsWarper): """:class:`transformers. 0）— 用于重复惩罚的参数。1. 0 意味着没有惩罚。 length_penalty ：一个浮点数，默认为 1. 综上所述，repetition_penalty作为Transformers大模型库中的重要参数之一，在提升文本生成质量和多样性方面发挥着关键作用。通过深入理解其原理并根据实际需求进行合理调整，我们能够更好地利用这一技术优化自然语言处理模型的表现。 Jul 1, 2023 · Hello everyone, I am currently working on a project in which I need to translate text from japanese to english. 0 when the user has no intention of setting a penalty (repetition_penalty = 1. And of course, one should ensure (and probably add tests) that this solution works per row for input batches (batches as input and batches after the expansion due to num_return_sequences > 1). 0) — The parameter for repetition penalty. My problem is that, sometimes the translated text repeat itself. Enable contrastive search with the penalty_alpha and top_k parameters. length_penalty (float, optional, defaults to 1) – Exponential penalty to the length that will be used by default in the generate method of the model. 0 rewards prompt tokens. Default: -1 Oct 27, 2024 · repetition penaltyを与えていますそのままでは単語を繰り返すだけの意味のない文章が出力されます今回は生成速度を見るだけなので与えなくてもよいのですが，せっかくなので意味のある文章を出力させます Jul 13, 2022 · repetition_penalty 1に近づけると同じ文章の繰り返しを減少する効果があります。今回は繰り返しを出来るだけ減少するために1. cpp#3538 - which could have contributed to the excessive repetition issues so many Llama 2 models exhibited), I'd happily test going without repetition penalty. 7 使模型更随机，0 表示贪婪采样 All of those problems disappeared once I raised Repetition Penalty from 1. 0) — 编码器重复惩罚的参数。对于不 Transformer related optimization, including BERT, GPT - FasterTransformer/docs/t5_guide. (float, optional, defaults to 1. An 请注意，只有在启用group beam search时，diversity_penalty才有效。 repetition_penalty (float, optional, defaults to 1. (2021). Aug 8, 2023 · Whereas OpenAI-style frequency penalty and presence penalty are: value == 0 bypass value > 0 penaltize repetition value < 0 "promote" repetition. 长度惩罚参数也是用于束搜索过程中，作用是将生成序列的长度应用于得分的分母，从而影响候选序列的得分. 0) – The parameter for repetition penalty. 10. restricting to top tokens summing to prob_cut_off <= prob_cut_off. early_stopping Repetition penalty applied to logits for both beam search and sampling. new (batch_size). 43. 本文先对大语言模型生成参数repetition_penalty进行讲解，希望可以帮助到您。 Jun 24, 2024 · length_penalty. 1 to 0. I am using MarianMT pretrained model. 3)", it won't have a repetition_penalty (float, optional, defaults to 1) – Parameter for repetition penalty that will be used by default in the generate method of the model. ### Repetition Penalty 参数详解在文本生成任务中，尤其是在使用基于Transformer架构的模型（如GPT系列、BERT系列等）时，`repetition_penalty` 是一个重要的参数，用于控制生成的文本中重复内容的出现频率。 May 14, 2024 · repetition_penalty. I check the paper and the source code, if I understand correctly, they just avoid repetition along the beam rather than between the Transformers库中的repetition_penalty惩罚系数是通过在模型生成文本的每个时间步上应用一个惩罚项来实现的。具体而言，当模型生成一个新的单词或短语时，会计算该内容与之前生成内容的相似度。 frequency_penalty – Float that penalizes new tokens based on their frequency in the generated text so far. repetition_penalty라는 인자를 주면 됩니다. 0的浮点数。如何惩罚重复token，默认1. ) is the world’s third-largest country and is the largest country in the length_penalty: float: 2. 0: The parameter for repetition penalty. 0. repetition_penalty：默认是1. 1 to 1. 5） 5. An repetition_penalty 可用于对生成重复的单词这一行为进行惩罚。它首先由 Keskar 等人 (2019) 引入，在 Welleck 等人 (2019) 的工作中，它是训练目标的一部分。它可以非常有效地防止重复，但似乎对模型和用户场景非常敏感，其中一个例子见 Github 上的讨论。 Aug 13, 2024 · Hugging Face Transformers库支持多语言NLP任务，提供便捷API。重点介绍了repetition_penalty参数，它在文本生成中控制重复词或短语，通过调整已生成词的概率来提高文本多样性和连贯性。 Sep 8, 2021 · repetition_penalty 繰り返しペナルティのパラメータ。1. [length_penalty] number: 1. 0代表没有惩罚。 1. 0) - encoder_repetition_penalty的参数。对不在原始输入中的序列进行指数式惩罚。 1. S. Python bindings for the Transformer models implemented in C/C++ using GGML library. 5) to avoid redundant code; Dialogue Generation: Dec 11, 2023 · 文章浏览阅读1. env. 4k次，点赞23次，收藏17次。之前只知道topp，topk，temperature，num_beams，repetition_penalty随着工作中接触更多，penalty_alpha，do_sample这些参数，发现有时候一头雾水，是时候系统性梳理一下了。 Sep 25, 2024 · frequency_penalty: 根据新 token 在生成文本中出现的频率进行惩罚（如 0. Paper CTRL: A Conditional Transformer Language Model for Controllable Generation Implementation example huggingface/tr Aug 10, 2023 · 试着调整一下 repetition_penalty 重复惩罚这个参数，我将其配置为 1. Kind: instance property of GenerationConfig Default: 1. Will override the effect of num_train_epochs. 4. Jun 17, 2024 · repetition_penalty是在使用预训练语言模型进行文本生成时，用于控制生成文本中重复词或短语的惩罚系数。这个参数在 Hugging Face Transformers 库中被引入，以帮助减少生成文本中的重复和循环模式，提高生成文本的多样性和连贯性. Now, when I change it, the output is always the same, the penalty is not being applied. 5 以内 Examples: 给我讲一个笑话 Oct 4, 2020 · 「Simple Transformers」で「テキスト生成」を行う方法をまとめました。 1. from transformers import GPT2LMHeadModel, GPT2Tokenizer # 加载模型和分词器 model = GPT2LMHeadModel. 上面我们讲过，自回归模型的推理是将新的token不断填入序列生成下一个token的过程。那么，前面token已经生成的中间计算结果是可以直接利用的。具体以Attention结构来说： repetition_penalty ：一个浮点数，默认为 1. rinnaの日本語GPT-2モデル「rinna」の日本語GPT-2モデルが公開されました。 rinna/japanese-gpt2-medium ツキ Hugging Face We窶决e on a journey to advance and democratize artificial inte huggingface. Apr 29, 2021 · 🚀 Feature request. 描述：用来防止文本重复的参数，使得模型在选择已经出现的词时变得更加谨慎。技术背景：为了避免生成的文本过于重复，通过调节这个参数，可以降低重复词汇的选择概率，提高文本的多样性和可读性。 10. 0: Exponential penalty to the length. 18 turned out to be the best across the board. 18 with Repetition Penalty Slope 0. com to try it!. is penalized) and soon loses all sense entirely. 2-1. (2019) によって最初に導入され、 Welleck et al. If the repetition penalty is too small, it may not ef-fectively alleviate self-reinforcement, while a large one can lead to short sentences as the <eos> 2 token is sampled early. 25 (seems the same issue no matter how I do so, but for this instance I installed TRL from github, which now supports passing repetition_penalty argument directly). I understand that you're having trouble using the HuggingFacePipeline in LangChain by passing the pipeline directly. length_penalty > 1. repetition_penalty – Float that penalizes new tokens based on whether they appear in the prompt and the generated text so far 本指南将帮助您了解 Transformers 中可用的不同解码策略，以及如何和何时使用它们。 repetition_penalty 减少重复，建议将其 repetition_penalty: The repetition penalty to use for sampling. 0 generationConfig. All returned sequence are generated independantly. Default: 1. model = "meta-llama/Llama-2-7b-chat-hf" tokenizer = AutoTokenizer. 0, is a an LLM hyperparameter that indicates to a model that it should refrain from using the same tokens too often. filter_value (:obj:`float`, `optional`, defaults to :obj:`-float("Inf repetition_penalty: float: 1. pip show tensorflow. I didn't mean that this should be the only code used. num_beams: int: 1: Number of beams for beam search. 30. repetition_penalty or 1. Between 0. This can be a penalty on the number of repeated n-grams between each generated sentence. 10 -Transformers: 4. Presence penalty - additive type of repetition penalty - applied to logits for both beam search and sampling. 7 to 0. Deploy a model through any OpenAI-compatible endpoint and set the parameter repetition_penalty = 1. length_penalty (float, optional, defaults to 1. 0 Apr 24, 2023 · repetition_penalty 可用于对生成重复的单词这一行为进行惩罚。它首先由 Keskar 等人 (2019) 引入，在 Welleck 等人 (2019) 的工作中，它是训练目标的一部分。它可以非常有效地防止重复，但似乎对模型和用户场景非常敏感，其中一个例子见 Github 上的讨论。 Aug 18, 2024 · 你是否曾对 LLM 推理超参数感到困惑？比如 temperature 和 repetition penalty 等。本文将从 transformers 4. from_pretrained("gpt2") tokenizer = GPT2Tokenizer. max_steps: int-1: Maximum number of training steps. In my testing, I used HF-style repetition_penalty. 3, generate() seems to be calling _get_logits_processor() without any way to pass additional logits processors. 1; last_n_tokens: The number of last tokens to use for repetition penalty. 1，这意味着只有前 10% 最高概率的token会被考虑在抽样中，这样会限制生成文本的可能性，使生成的文本更加确定和集中。 Transformers大模型库深度解析：repetition_penalty惩罚系数的应用与优化. Aug 13, 2024 · 如果repetition_penalty大于1，减少重复词的生成概率。如果repetition_penalty等于1，保持原有生成策略。如果repetition_penalty小于1，增加重复词的生成概率。三、总结. Dec 5, 2023 · class RepetitionPenalty LogitsProcessor (LogitsProcessor): r""" [`LogitsProcessor`] enforcing an exponential penalty on repeated sequences. repetition_penalty＝X：重複ペナルティ（1以上だと重複しないようにモデルを調整する。1以下の場合は重複の結果が出てくる。おすすめは:1. Of course, only input ids should be penalized, not everything. 0: frequency Note that diversity_penalty is only effective if group beam search is enabled. Mar 26, 2024 · はじめに大規模言語モデルを作っていると､モデル内部のコードをいじることがあります｡そのようなカスタムコードを含むモデルをHuggingFaceのリポジトリに登録して利用するための手順を習得するのに苦戦したので､備忘録も込めて記載します｡以下のサイトを参考にしました｡ Share Custom "Please use another model class (e. repetition_penalty (float, optional, defaults to model. by multiplying a negative score with a 1 / 2 = 0. So how to get the same pass@1 as HF when I use vLLM? repetition_penalty: 1. However, even after changing presence_penalty to repetition_penalty-1, the problem still persists. 0 penalizes prompt tokens. generationConfig. Args: top_p (:obj:`float`): If set to < 1, only the most probable tokens with probabilities that add up to :obj:`top_p` or higher are kept for generation. fill_ (1) sent_lengths = input_ids. Apr 25, 2023 · encoder_repetition_penalty (float, optional, defaults to 1. 0はペナルティがないことを意味する。繰り返しを防ぐのに非常に効果的だが、さまざまなモデルやユースケースに非常に敏感; no_repeat_ngram_size 指定されたngramサイズの繰り替えしへの制約; 1回のみ発生 Sep 26, 2020 · ・repetition_penalty: すでに生成された単語や文脈に属する単語にペナルティを与えるために使用することができます。これは Kesker et al. LongTensor] = None, max_length: Optional [int] = None, min_length: Optional [int] = None, do_sample Explore resources, tutorials, API docs, and dynamic examples to get the most out of OpenAI's developer platform. Aug 29, 2023 · TLDR: you should check out the repetition_penalty term in the HuggingFace configuration but you could also use a fine-tuned model. 1, 1. An Oct 23, 2024 · 引用文章关于大模型解码超参数是在哪里配置的可参考：逐行讲解transformers中model. pad_token_id (int, optional) — The id of the padding Jun 27, 2023 · 虽然#43 也提及这一问题，但repetition_penalty选项并不生效（或者是我填错了地方？ -OS: Ubuntu 22. 이 generate 함수를 이용해서 문장 생성 하는데 보다 적은 노력으로 훌륭한 문장을 생성할 수 있습니다. 1 or greater has solved infinite newline generation, but does not get me full answers. 0 时，较短的序列得到更大的惩罚，鼓励生成较长的序列现在常见的LLM基本都是只包含Transformer Decoder的，每个Token在输入模型的Transformer Decoder之前，都会首先从Token Embedding（有些也叫Word Embedding）中通过查表获取对应的embedding向量，然后将embedding向量输入Transformer Decoder，并且在最后一层输出的也是同维度的embedding。在 I used to think that, but one of the Transformers devs (Joao Gante from HF) told me that it is "only applied at most once per token" within the repetition penalty range, so it doesn't matter how often the number 3 appears in the first 5 questions, as long as the repetition penalty is a "reasonable value (e. Much higher and the penalty stops it from being able to end sentences (because . Between 0 and infinity. 重复性惩罚 Repetition Penalty 5. 8) to focus on the most likely tokens; Higher repetition_penalty (1. presence_penalty [1] or [batch_size] CPU: float: Optional. 代码实现逻辑：如果字的概率score<0，则score = score*penalty, 概率会越低；如果字的概率score>0, 则则score = score/penalty,同样概率也会变低。惩罚n-gram Frequency Penalty 参数主要是通过给经常出现的词施加某种形式的惩罚来解决这个问题。 Frequency Penalty 参数在语言模型的设计中显得尤为重要，特别是在 GPT 类模型中。这种惩罚机制可以帮助改善生成文本的质量，使得输出更加符合实际语言习惯，更加多样化和自然。 Jul 26, 2023 · Answer generated by a 🤖. Jun 17, 2023 · For example, it penalizes every token that’s repeating, even tokens in the middle/end of a word, stopwords, and punctuation. 18 (so slightly lower than 1. 2 across 15 different LLaMA (1) and Llama 2 models. Defaults to bos_token_id as defined in the Jun 19, 2023 · It usually works well, but it is a bit of a blunt instrument. max_length min_length = min_length if min_length is not Feb 18, 2024 · I think there is something wrong with repetition_penalty. e. repetition_penalty. Maybe this was penalty (float) — The parameter for repetition penalty. Defaults to bos_token_id as defined in the Jan 22, 2024 · transformersのGenerationConfigを受け付けるモデルであれば、generateの引数にrepetition_penaltyやno_repeat_ngram_sizeなど、いくつかの生成プロセスを制御する方法がありますが、今回の行いたい文字列で制御が可能なstopping_criteriaを渡す方法もあります。 penalty (float) — The parameter for repetition penalty. from_pretrained("gpt2") # 输入文本 input_text = "The cat is sitting on the mat. 04 -Python: 3. 0 ，指定模型的生成方法中， repetition penalty 的超参数。 1. 1版本有讲究，原先的太高了！ pip install transformers==2. 0意味着没有惩罚。 length_penalty (float, optional, defaults to 1. As of 4. . Above 1. This reduces repetition by introducing a penalty for tokens that have already been used. Feb 17, 2023 · Beenle301: 楼主，repetition_penalty我看huggingface官网上好像写的是默认值1. no_grad def generate (self, input_ids: Optional [torch. Nov 11, 2021 · This post is related to Whitelist specific tokens in beam search - #4 by 100worte I see methods such as beam_search() and sample() has a parameter logits_processor, but generate() does not. It works by lowering the probabilities of tokens that were recently added to a response, so they’re less likely to be repeated to produce a more diverse But my model seems to have repetition issue, so I tried to pass repetition_penalty=1. 3 Length Penalty Choosing an appropriate repetition penalty can be challenging, as discussed inBasu et al. Between 1. 0). repetition_penalty（重复惩罚）是一种技术，用于减少在文本生成过程中出现重复片段的概率。它对之前已经生成的文本进行惩罚，使得模型更倾向于选择新的、不重复的内容。以下是 repetition_penalty 的工作原理： Jul 7, 2023 · Repetition Penalty: Repetition penalty is a technique that penalizes or reduces the probability of generating tokens that have recently appeared in the generated text. fill_ (max_length) past = (encoder_outputs, None) if encoder_outputs is not None else None while cur_len < max_length: model_inputs Jan 5, 2025 · 在 Hugging Face 的 Transformers 库中，Repetition Penalty 可以通过 repetition_penalty 参数设置：. 0) – Exponential penalty to the length. It seems like this is much more prone to repetition than GPT-3 was. 重复生成问题时LLM本身的弱点，无论是否微调都可能出现。对于重复性惩罚核心思想在于 "调整已出现过的token的logists" 리피티션 패널티(repetition penalty)라는 방식으로 반복을 통제할 수도 있습니다. config. " Jul 21, 2023 · huggingface의 transformer 라이브러리에서 model. 2; 有关使用 32 层 LLaMA-7B 模型进行 DoLa 解码的示例，请参阅以下 Jun 26, 2024 · 请注意，只有在启用group beam search时，diversity_penalty才有效。 repetition_penalty (float, optional, defaults to 1. 1 on page 5: Dec 24, 2019 · next_token_logits [i, previous_tokens] /= repetition_penalty If the logit next_token_logits[i, previous_tokens] is < 0, then dividing by a number > 1 is actually going to increase the probability of sampling that token the next time instead of reducing it. From my belief, we are supposed to call generate() with parameters instead of any The DRY sampler by u/-p-e-w-has been merged to main, so if you update oobabooga normally you can now use DRY. This strategy compares how similar a generated token is against previous tokens, and if they’re more similar, a penalty is applied. 18, and 1. iaedsx jnge ymtt rxp brb lhcv hbjfb nqaq qsquo xuquzti