From 3cd1d44f7269984f250c1cf98310f02cd97a51c0 Mon Sep 17 00:00:00 2001 From: sergiopaniego Date: Fri, 19 Dec 2025 17:57:51 +0100 Subject: [PATCH] Nits in Fine-tuning with FunctionGemma SFT-TRL notebook --- .../finetuning-with-functiongemma.ipynb | 19 ++++++++++++------- 1 file changed, 12 insertions(+), 7 deletions(-) diff --git a/site/en/gemma/docs/functiongemma/finetuning-with-functiongemma.ipynb b/site/en/gemma/docs/functiongemma/finetuning-with-functiongemma.ipynb index e437d97e5..056a12076 100644 --- a/site/en/gemma/docs/functiongemma/finetuning-with-functiongemma.ipynb +++ b/site/en/gemma/docs/functiongemma/finetuning-with-functiongemma.ipynb @@ -80,9 +80,9 @@ "source": [ "This guide demonstrates how to fine-tune FunctionGemma for tool calling.\n", "\n", - "While FunctionGemma is natively capable of calling tools. But true capability comes from two distinct skills: the mechanical knowledge of how to use a tool (syntax) and the cognitive ability to interpret *why* and *when* to use it (intent).\n", + "While FunctionGemma is natively capable of calling tools, true capability comes from two distinct skills: the mechanical knowledge of how to use a tool (syntax) and the cognitive ability to interpret *why* and *when* to use it (intent).\n", "\n", - "Models, especially smaller ones, have fewer parameters available to retain complex intent understanding. This is why we need to fine-tune them\n", + "Models, especially smaller ones, have fewer parameters available to retain complex intent understanding. This is why we need to fine-tune them.\n", "\n", "Common use cases for fine-tuning tool calling include:\n", "\n", @@ -134,7 +134,7 @@ "id": "3raKuRFXEDNm" }, "source": [ - "> _Note: If you are using a GPU with Ampere architecture (such as NVIDIA L4) or newer, you can use Flash attention. Flash Attention is a method that significantly speeds computations up and reduces memory usage from quadratic to linear in sequence length, leading to acelerating training up to 3x. Learn more at [FlashAttention](https://github.com/Dao-AILab/flash-attention/tree/main)._\n", + "> _Note: If you are using a GPU with Ampere architecture (such as NVIDIA L4) or newer, you can use Flash attention. Flash Attention is a method that significantly speeds computations up and reduces memory usage from quadratic to linear in sequence length, leading to accelerating training up to 3x. Learn more at [FlashAttention](https://github.com/Dao-AILab/flash-attention/tree/main)._\n", "\n", "Before you can start training, you have to make sure that you accepted the terms of use for Gemma. You can accept the license on [Hugging Face](http://huggingface.co/google/functiongemma-270m-it) by clicking on the **Agree** and access repository button on the model page at: http://huggingface.co/google/functiongemma-270m-it\n", "\n", @@ -924,7 +924,7 @@ "source": [ "To plot the training and validation losses, you would typically extract these values from the `TrainerState` object or the logs generated during training.\n", "\n", - "Libraries like Matplotlib can then be used to visualize these values over training steps or epochs. The x-asis would represent the training steps or epochs, and the y-axis would represent the corresponding loss values." + "Libraries like Matplotlib can then be used to visualize these values over training steps or epochs. The x-axis would represent the training steps or epochs, and the y-axis would represent the corresponding loss values." ] }, { @@ -937,7 +937,7 @@ "outputs": [ { "data": { - "image/png": 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\n", + "image/png": 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", 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" ] @@ -1059,7 +1059,7 @@ } ], "source": [ - "check_success_rate()\n" + "check_success_rate()" ] }, { @@ -1087,8 +1087,13 @@ "Check out the following docs next:\n", "\n", "- [Full function calling sequence with FunctionGemma](https://ai.google.dev/gemma/docs/functiongemma/full-function-calling-sequence-with-functiongemma)\n", - "- [Finetune FunctionGemma for Mobile Actions](https://github.com/google-gemini/gemma-cookbook/blob/main/FunctionGemma/%5BFunctionGemma%5DFinetune_FunctionGemma_270M_for_Mobile_Actions_with_Hugging_Face.ipynb) in the Gemma Cookbook\n" + "- [Fine-tune FunctionGemma for Mobile Actions](https://github.com/google-gemini/gemma-cookbook/blob/main/FunctionGemma/%5BFunctionGemma%5DFinetune_FunctionGemma_270M_for_Mobile_Actions_with_Hugging_Face.ipynb) in the Gemma Cookbook\n" ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [] } ], "metadata": {