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pixtral finetune on satellite data
Details
File: mistral/fine_tune/pixtral_finetune_on_satellite_data.ipynb
Type: Jupyter Notebook
Use Cases: Pixtral, Finetuning
Content
Notebook content (JSON format):
{
"cells": [
{
"cell_type": "markdown",
"metadata": {
"id": "SFf2P1hrpGxA"
},
"source": [
"# 🛰️ Finetuning Pixtral on a satellite imagery dataset 🛰️"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "qm96TaIApPz6"
},
"source": [
"TL;DR: This notebook will show you:\n",
"- How to call Mistral's **batch inference** API\n",
"- How to **pass images** (encoded in base64) **in your API calls** to Mistral's VLM (here Pixtral-12B)\n",
"- How to **fine-tune Pixtral-12B** on an image classification problem in order to improve its accuracy.\n",
"\n",
"For additional references check out the docs:\n",
"- https://docs.mistral.ai/capabilities/finetuning/\n",
"- https://docs.mistral.ai/capabilities/vision/"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"id": "Bw58Yt-sCAa6"
},
"outputs": [],
"source": [
"from IPython.display import clear_output\n",
"!pip install mistralai==1.9.3\n",
"clear_output()"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "Gut1WE6ZpY_c"
},
"source": [
"## Prepare the dataset\n",
"\n",
"We will use [AID: A scene classification dataset](https://www.kaggle.com/datasets/jiayuanchengala/aid-scene-classification-datasets) introduced by Xia et al. hosted on Kaggle under a Public Domain license.\n",
"\n",
"To downloading it, you will have to generate your Kaggle API token:\n",
"- Go to your Kaggle account in the [Kaggle API Token](https://www.kaggle.com/settings/account) section,\n",
"- Click \"Create New API Token\" → this will download kaggle.json.\n",
"- Upload kaggle.json to Google Colab."
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "6B09NVAzmVdD"
},
"source": [
"## Download and parse the data"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {
"id": "SMuEWzmzFfOB"
},
"outputs": [],
"source": [
"def is_colab_runtime() -> bool:\n",
" try:\n",
" import google.colab\n",
" return True\n",
" except ImportError:\n",
" return False"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {
"id": "Jxxk47ViqSrY"
},
"outputs": [],
"source": [
"if is_colab_runtime():\n",
"\n",
" from google.colab import files\n",
"\n",
" # This will prompt you to upload kaggle.json\n",
" print(\"Please upload your kaggle.json file below:\")\n",
" files.upload()\n",
" clear_output()"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {
"collapsed": true,
"id": "XJVElV3C0Jw3"
},
"outputs": [],
"source": [
"from pathlib import Path\n",
"\n",
"if (Path() / \"kaggle.json\").exists():\n",
" !mkdir -p ~/.kaggle\n",
" !cp kaggle.json ~/.kaggle/\n",
" !chmod 600 ~/.kaggle/kaggle.json\n",
"\n",
"!kaggle datasets download -d jiayuanchengala/aid-scene-classification-datasets\n",
"# This might take a few minutes\n",
"!unzip aid-scene-classification-datasets.zip -d satellite_dataset\n",
"\n",
"clear_output()"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "K7IDTtlq9_iu"
},
"source": [
"The dataset consists in:\n",
"- satelite images (jpg files)\n",
"- each image belongs to a specific class (e.g. airport, commercial, dense residential, medium residential, park, forest, farmland etc.)\n",
"\n",
"\n",
"\n",
"\n",
"We first transform this dataset into something usable for finetuning\n",
"- Create pairs of (image, labels)\n",
"- Load the images and encode them in base64 (the format expected by Pixtral API)\n",
"- Downgrade the quality of the image in order to be a bit more memory-efficient\n",
"\n",
"_Note that smaller, specialized vision models could potentially achieve comparable performance levels. This cookbook aims to guide you through the process of effectively fine-tuning Mistral’s Vision Language Model (VLM) using a straightforward example, and to demonstrate its impact on basic classification metrics. More advanced applications of fine-tuning could include interactions like \"speak with an image\" or generating image captions._"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 280
},
"id": "6ve2X_E0bY0n",
"outputId": "4eca9c10-1ea8-48a1-f8d0-a315f9089f7c"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Classes: ['School', 'Farmland', 'Airport', 'BaseballField', 'Resort', 'Viaduct', 'Forest', 'Beach', 'Parking', 'MediumResidential', 'Pond', 'Park', 'Port', 'Meadow', 'BareLand', 'Playground', 'SparseResidential', 'Desert', 'DenseResidential', 'Bridge', 'Square', 'River', 'StorageTanks', 'Commercial', 'Center', 'Stadium', 'Industrial', 'RailwayStation', 'Mountain', 'Church']\n",
"Size train: 8000\n",
"Size test: 2000\n"
]
},
{
"data": {
"application/vnd.google.colaboratory.intrinsic+json": {
"summary": "{\n \"name\": \"train_df\",\n \"rows\": 8000,\n \"fields\": [\n {\n \"column\": \"label\",\n \"properties\": {\n \"dtype\": \"category\",\n \"num_unique_values\": 30,\n \"samples\": [\n \"Stadium\",\n \"Industrial\",\n \"Playground\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"img_path\",\n \"properties\": {\n \"dtype\": \"string\",\n \"num_unique_values\": 8000,\n \"samples\": [\n \"satellite_dataset/AID/River/river_280.jpg\",\n \"satellite_dataset/AID/Beach/beach_7.jpg\",\n \"satellite_dataset/AID/Industrial/industrial_261.jpg\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"img_b64\",\n \"properties\": {\n \"dtype\": \"string\",\n \"num_unique_values\": 7999,\n \"samples\": [\n 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welBFyhduFGO54rMIIk5PSrNzKPN2g9O1Vf48mtYogniG98du9XSoCjA4qpb9fxqzMxKD1FJiImfax5qMvkleOeTimyHIwAc0mdi+/WmkIr3LZcDsKqshnuooB937zn0FPZ8SFj0FTWFs0kDyEHdOdgx6d6roCJpr/wAkb0UHzOFUjgIO/wCNQ/2k8oKNCrDrgcVJq9qFkjlVcIRtwB0A6VStMi5Ge1NJFal5dSlOxRbE9d2Oue2KsjUR0eykPuK6Kz0+0nsLeXyl+ZM5x1OanbS7bH+qX8ql2BXOY+1xyZ/cy4A5BHWltTb+YSkBY56Nx+lbtzpVvG/yghSoI+b1FU2tYobm3B3FWkwfm7Yz/SlddB2ZjaxEyiKHPz9lAyTTV8Nauz7Bp0+8AEgLyM1b1eTTpdUdpJrhJEwA0QBX2x3robDxtcWEZWHUBISiqDMM9PX3p6paCdmzg7u1nsp2t7iNo5F6qwwRVfGPpWt4gvX1DVprh5vOLAfOf5VlcdxWibtqZvcOmaOMYNITg0Dk4piDv1pM0uDSd6oZIDnkVqW2rmKzNpLBHIhPytyCnuKxwcGn544qdxHpvgvxdomhaHcQzyzCYnfs8vIJxjiubm8UiSVmMAAJz1rlh1AFJnkio5Ehy95WZ0v/AAkcZ6wn86kHiK3PWN/zrlxn1pwU5GKbijL2aOqGvW5GQr+lRWF3aXHiGG4vJBFbhWyW57HA/HpXObDuxnH40B2TBzmnyoagonTalq1rHmO33OqgqB/DjHf1rli2ST0p+5pGIPfpUpRVOGByKexaR0vibU5Si6XGct1lP8hXf/DzRF0zSG1G4AWa6xt3cYTt+ZrzTwzYf2zrKvczKEaQGUsecE9q+gIookgSNFXy1UBR2wOlc0tFY6VqVr24g0uynumAVVG4jPU9q8ivr17+9kmkOS7Emuu8b6g9xKumwNiOP5pSP73YfhXEtB5AznP41KCTJJn/AHYAwB6Vl3EmM+tWJpDswDWfKT1JOfeqSM2yq/zS5zT2G7FMHMnpUqDnkcVYmTQrgU+cjaOeaRRgDnimSnc/HT1oe4hg6bu56VFM+2M+pqZiPTgVSmO59pPFNBuVJMSFUVvnZsYzW7YQSptDEKY1xgcj/wDXisuztUvJpZXyEXAG3ua6W1t/JRUkOWX7xHrQyoqwx2EU3lygbCoyQCSBUcWmwXF5J5KrHkFhhfSnNdLLckRgOSdvJ6enNT/Z5RKsJ8vzcAZVgR+YpFI6bTriHTtMtoZRGuxecqDySTV57+3CZdIgG6ExgA1xVxaXFuheQbkU4JBJxUayMygFiwHQE9KVxtGtqd8kl0wi8vaoCjAPOKoywyz3UKkpGVbJySDyMf1qbTlzqVoVJH7wZPmBBj3Y9KteJJvN1aaTGTtGT5gk7D+IdaNmFtDgrxt91Lk5+YjPrir+m6ZZ3tlLJJqUcFwrhUt2QkuD3z0xWTK37xj6mkDEc1r0Mdmaes6Je6FdC1vovLkKhlw2Qy+oNZZPPWpZZ5JQvmOzYGAWJOB6c1CRzTQMDkmk6HinAYJGeaQ1SEL0GRzRjvTT2oz70CHHnmkJwvqDR8p9aQelAChsdqCKUD16UDtQwYZPOOlOUnscd6VQFb5wcYPT1p6oSvTOe+KQtxrMcnPU80g+Y4HWnuoUnqD2p8CDcpfO3IzikO4sMYVhkcnkZ6VYYw723gk59acy7pFXO44+U9KHQo7KOMHkdaBmh4dgnj1G2iRH3O4UYXvXsWv60dGtIIICn2lgMBhnao6kiqfhKztRayXpjCvGSu5lxtx1rktc1P8AtDV57gH5M7Uz2UdK5pO7OlOyK19fPcTvI7Zdjlj6msudzjk/hU0j5YnNULlznGeKEiJMZI3HLYqqzlhjORSs2etRjn7verSIGgDJOPapVHIpmDkZ9akGMcGmA8nBwD+VIoPmnHQdfekY7Bkjp70iSfISSeeaaJCcqsefbpWZIcIWH8R2ip7iZj8o7mm20Xn3qKB8kYy2fanshrc1tOtfLWFCcYG9x/L9f5VfmJ8lkLHLcs3emWoPlh2GDJz9B2/z70lwVL+9TcsqiIAYUYX0FXbcPaqHPysOfpUS/KAQOamaYTKDJz0z2zg+1DGjdWSSV1ge22yvlWRzjkdetR3WmiC2kY2ESAADIfkE9KdPfi/vYbq38yPKnId92CBjg+lUJ9an34VRgdSVzUcpdyL7JM1shSMsxzuGfyqvtcyiOV/KGDywyFGOTUsmtXhwDtZT1PlgGs/WdWzayRbI/MkUbWQdM9f0qlch2sUD4dVjmPVrZ/Ymj/hGNQ4Ky28i7h91+1Yy8tmrENxJBMjoeVIOD0PsfatbaGWp2GpaHp3lLOlt5asQoQEq3Tr1I7VkPoEDg+VNKpHOGUN/LFdVpulXGr2kc77o9sYkdIhlFUk84zkHisy3O66kEEuHjwCrrknJxxWepp01Oak0ecamLC2eK5kKhgyNgHjPeq8un3UIzLBIB6gZH5iuutZEe/uDc2cbpB1fG0yDOOM1G2FuZDEpiTPAAxxT5mhJJnGeoFJjNdkyW7KzTwQzAKSSy4PT1FcjsON204zxVRlcmSsMxgcUmOcU8qR7cZoXk8jJ7Vpci4i8kcHFSKCHyp+mabg49KcEJVTjH40thDwoJ2tkMBwO5pybV5J/MVGM7gTnIHc1NxI4PVieeKLjQ2OISyKXYheSe9SRhVBJyJB0GKVFwrHODnoehpxkZlwynk7s46VIyYFZI95DHaDn69qj88LwwAPpSrcICo6IBtYhcHPepo0jddxHf0HNAHsnjHUhp2ki0gISSf5cL/Cnc/0rzR5B/Ec1p+I9WOp6rNOD+7B2xj0UViO4x15rnijWUtRzyelUJ5ecdTVmNTNu7YGaqtETIeCcVaIIQN3UcVOIskADnsR3qVosMMDPGRSqOAw6enamMrSBRnH6+tNUM2B+ZqaTDOw7mlRABg4oEV5eoWo3baNvepZceaR2FU52+Y9eOlUncRGHALSnoo4+tbejafMLEzH5WlOcn0rBbJaOELnkFh6+1ehwRxx2apImCFGB6cUpFpHPCaR7USFBySMqcdOOlPIwkef7lNWEDTxC+TtznHfmrGpX/wBtuPO8mOEso+SMYUcY4oQyDHTqKuXttHFppkR9rqAePTvWeWPQkdutWiq32tW9o8pMDxHIA3c0gvY0dIQTiHYCuUbGTz6VYntWtCG8xWdjytU4bqSHTUuCSzKCuT1+9isu51aZ2LbgD7Cps2xuSSH3bOrMxdQB2Fc9qDAypjPTJ96W4upJHYs5OTmqruXYsx3GtYxMnIaB6U4EdeKYCR24NKRz7VoI7zSfHMNtpzW0kDQO8AheSJQwfAIBIPfB7VqeFLvw9Lqtx59zAiTRKqLJlSCD6nocD1rzAEg4NKHIOAahwRSlbc9W1rw/Dp98b2zf7XZ8mVRIG2H0ODz1qxaaJYXemPdXBmilmLeUYWIzjHBDZA7da8vstYvNPkDW8xQ9xgEH6g8Gujj+IupJpi2TW9qyqcltp+b2x2rNwdrDUlcm1vTbrT7G4WKaC4T/AJaBk2yoPX3FccWXywFB3dDW7qHiu41JWj+zwxtIpDycs5z15PSsSNQsmHU+hrSKaRLdyBkcjcQcGnR9lbj3x0qeRii5B4DHFQnOTnhT1HpTEKeVzg5B6/4U9twVQcFDzketORcLuVug+Yd6ZIChI6c8fjTuKw0qVAyCBnrjrUw/dkYOPrUQYt+73feI4J4zUkcZaXy/4lByPcUtxiyShnxgYPOR609Fd9ysR8vXtikBVcqTk544608MEbcuGGMHA60WAUkqrKAGXjjHXFRkkE7VIB5GBT/LI2OmAjLkH09aezkMdi5H0oGassvzdc1DncSR0qMuWbtT4gWOASOaxsMlCPESQSD2INKWGT0yeuO9ISwQnIyMZHWmZLsMtwOBgdqYak+zbFn+H61Bt/eYGcVKzl1ycDucdDSBRtDMDjvjrQBAE43Y78H1oc7UwD26GpiokHXjPeoJgSDznHegRV3bSc1VkAeQHPyjk1PKcJnvVRjtT3c9PaqQI0NBsXudRE0iHYnznIxn0Fds0ebQlhiszRkeHS4fOXlufwPStfY0kG1eh6A96ls0RyMW77ESGPAbj8TUdlBLfxSSNdRQLDHvO/AJ9lHc+1XWtpbW2dJlCsASQD6k1gSz7bWOAA/3t2eORinFCd0aFy1r9mMSTGZmIy7QlSo9ua6GxvoXnsbqyhs4ZoF+ZEDbnyMHP8+Kr2FuJ7GPeMtjB44NXUsPJjV4m2gdCB0oaBXMm8vHSwuYCI9itwUz/e965yafPStrWHaS3uWY5O4ZwMA81zbc9ulVFET3Gkk80hPGKUjigDirsIBjaBQOnFGOaPu/U0xWDOCD1FIeTkUoORS89e1ACZPSlHT6daQgdaUDAx0pASDAOTndxgU7eQxbAP1pnG1RyGHekYg4xn3NDYiQnc/IAHtSqTuJxnjmol65yDipduBnJ4NAEgyZWWIdsY9ahbLfKeG+tSEq0fykhs/MDTVw7jn2PFBW43nA2ryDjNKAG5wxb0qQ5QbA2QeoIokQiQsvOOSc5Bz6UAMU8FpQxGCo29qWFpQDwfLzk80mF2rtweeR60kmR0G0DtSAmmlAQqjEpnIFQrdMgxiliAbBKkEcmlkgy5IUAHnGKEJs2YY+5zkirMMUmx3XlM4JzUcZUE5yRnggVZ8spCZFCsjHBI/kayZZUfiU9mB5pzSEED5V44296RiGbOSOufT6g0jDMasDkZyR6UDHIRn5jgg4PGM1PDgMPfnrUAzkb1OOvXg0uSrDa/BOQM4xQIJlw24ED6dKrBgXbOMY6HvViVsFxjp1WqykNET/ABLxTQipdjkIMc/pSabZm/1SKEZKA/N7AdaaSZH44yeBXTeFLNAkt5jHmHYn0HU027IpI6GK1T5QVPHAFWpELxgYKhehAqSBScZP51LLJ5aNleAOpNYtmiRyWq8u4bpsANcTO+ZsDG3gDHpXb6yRudhj/V/0riZ+ZI8dlWtYEM6rTbx4rSIFnUEA8dKvtqMj7k807eCBjv71lwcQRqWxheOKnjjZt7qSUBCk7eM+lA0Z+okGznYnJJ7d+a55hkmui1IYsrgHqCBj8a51uMmqgRLcbxnrSEkZwaTt70h4rQiw4E96U9fWmilzgUAKD82O1KRnjPFNxzmngABj1OPypMBuBSZ460ncmkHFMEPBOD/OkHJpMmlGPXmgQ5TnA28g1OWUAKPXtUCnBz+OaNx57UgJn4PoCOuabgI+0YPfjvURbK496P59QQaBom88kjPUcHNOA2ktggY7VXDADnrmlaZ2TbnjpigCzJMhJy2elNNwQHUvuVuelU+ce9KDmhoCx5u1ie3pSi6kUYEhH41Wzz1pevekI6a3JGUbgHoasNuhjO07SDxnvTIW2qFO0gnGwjsakkA2PtJ2DovfFZGhVYbiwIwwO7jpSiTb8zIpABHp171JsI27XBJOACeR7VGuFYozBcHjd0B96dgZJ56GPcWPXpjpUUwYkAEMB0amSIrO2wFe+M8e9TbGViuQrKox/tccGgRHG6tGAchs9T3qhcuV3omBuwKvyssIU/Myf3WGDWU5zKTg8DvTTAmtYTNIUAOcYyO3vXS6d9ostsMWJIVAAUdRUWhaepsJrt+CSI4h6nOTXSwWcZcLt25HJHr61EpGsYkkNxvwMMjHkBhjNX/vWb7gSMc8VlxXEl5qE5wvlQERqR3bHNaTPIIGDAkVm2WclrkIVpeMExg4H0rmW0+5k2yRR5XYv1wa6vWiPNctnHlj+VVdPBupkhs12kquAx7HA5P1NaxbsZ21KsQIiHYgdKcHbaEJO0nO3PFWmieSRhtO5TggdKR2mUMOcL0AHSi4zO1U/wDEvnHo4/nXMsPwrptUSaeyVLeF5WdsttXJ61itpt6Dk2dx/wB+jVwM5LUI9HvJrf7RFGHizt3hu/8Ak0No16pwYMn/AGWBr0DRvD8c+iJbtLH8+JHQx4IPpWh/wjkap8scIIQr8oI/HI70NsNEeRzRSQTNHIu11OCOuDTcdSTXdX/ga7lmluFuIcMchcHpXESL5blT2OKtMl26DRgjFHSm+9AY07CFx3NJgUE/lSdqAFFHrikyQBxS8npQAZxgZ/Ckzk0YyaOpPtS3ELnjFBOab0zmgEdKdhi9ehpASTgnpRty2aXHegNgI5pc5GDRnj3pKAQdSaUnFJRmkI6kfO6HIRmGVb1/Kn581QAAJc4yOBj3qLKoduAQG69CKdKrom8klem709vrWJpcRt8LsvQE5OexppdDh2AORgg80omlRgSVbdyw65pXVZF+XaG4AH94f41YhLcKpcSR5RsbfYilmjZQI3xlSSD/AEph4A2jbg4b0+pqVpmeMQtIr+WMK56Y98/lUgU7p3jUgnjBBzVGIF5EXuxAqW4m81tvY89ataVAWn804wvT61T2KR1mmAPBBbhAkcOcEfxHP3qv3l8tnFM4yzhPkA7sen60vhnNrcv59nHJHKow+47lx7dqTVVW91OG2jCqsf7x2Pr2H8zWPU1Ww7TrY29vFATl8b3YfxMeSfzrRkchWQDjbzVSOEhgAc7eMg05mMTSD7oPc0tBHP6vHK9kLphhZo22DHZeP6VBpsclppj3MaFhNbiJnIICgkHj8qXUmLW8wJLBVYgZ6Vq2mqwnwQlodu8quEw3Hvnpn6VfQQnhWC0n1J0u4xIrLhFbd94cnp7VBdXFlZarcyzW5uLYMyiIFgp574qtpgjkuVilnigiZuZJTwOKkMZF1PFG0TJu2l3BIxu6gUgMbVrpTHLdWsZtkLjYiOfl59axP7VvlPy3c+f+uhrb8QwxW9vNFBcJNGrpiSNSASfY1y5OBWsErGc9zqbTxzf20SI0UUhTjc5OT9atr8Q7oD5rOI/8CIrhyTRnn2q7EM7pviFKYSoskUkcYfgVxEj72LepzTCT6UnNCQrC5pKPY0U0NB1FHbNB9qKADOcUp6UlID1oCwtHU9KXg0hz60AFJjnOKUdM0i9TzmhAgz26mgkge1OwaSl1AAfekyQKMAYIoGcnnimAvpRxRnOaQLx1pXEdNuckEElhznrikDR7GEgYEnGcfL/+uo8sCSoyRz9RTo0iEuXLBCOVz3xWaKFVQshdCdq8j1pzkjDIMA44PXd7UPGVTzFxyOmajR8jDnGDk9xQMlRyJPMYFS2ASBnjvxUcrLHJlMOpbg461OzEyFUG1ichegJ7GsuZvm988gdKEBGxMsrOepJ5rqrDTRBaWjFj5kgMjLjoD0/Suds4DcXKqFLKOWx/dHWuws2FzLLKBg55XOdo7D8qmTLibFpOltGPMxgdWJ6CqxZYppZNoYSPuJHFUrti8igcpjJ5qSxtJr9yQSsKEB3PRQe/HWoNC2b5c/umyQOQe1DSmeNtzGq0umzLO6xjzFU43L0NVpVkK7SzLjqBTVhFDU2CwTcg5B56Umg2TXdkWaVlC4UL2IwKz/ER/wBHj7ndz+VYSahcINiOwUejEVaV0RfU9B0u2sZNR8m9jR0DZVmlCBWHvjqabOImvroQhUhL4G5/ujPrXMWEuotEHgSSZOvMZcVoStLwIzMpcK0kbLsbPf6jNLYpJsZ4gtEtrKZBMkmJF+eJtykex71yRHXBrqNWDDRDksRvAGfrXLkY7VcCJblqy0ye/QtGyKA235iRz1q2/hy/U4UQuc4IWTOKteHb2W3guESGaSOXKyBFDbhjp7H3q/IYCEEsV7HhAo3RkcD3qr2JOY+wXHnNEQiunUM2KYLK5aPzRHmPdt3dia2ZYLK7nYiSVXLZY43fjSwQpLYSMzx9SF5xnnrjsTRcdjBktriJsPHgj36U4Wl0q5a3kx6hTXXW9laXeo2q4WNJJAshVhkD2ror6Ky0+Iw2twnzAkF3UnOaLiPLdjDggj2IppHzV3d3PpUlq63bRPJjjZgnNcTNt81tmdueM+lO5JGelJn2pcZOKTGBTuAnSjOfrTjjAppGaQCDjPpSAAjgmnHPbtQBimAgGOM0pHFAGKQ57UAJngihTxzTgOaYTlqAHAYBx1pR0pADuzniloA6BMK7MUwM8+mKc5DPmInawwR7+lMU71IOeeOe1PQtFlW5TOWA/Q1kMUuInVWLFCB9cU6T5xu6Hp07/SmMqsCSwK5GM9R/npTWnBjK/dYYI460DI95VSfvA4/CqjncxJOTViWUbWcBcuDlQOlVFyzKO5OBQCNHT3khQvGxUsMZ9q1rXXJ4oXtgXjSVgXEfRz71mJhcADCgYp7LkjauckDg4pPU1SN+RmhtnmkBU5xzwRXTWdpDaaHE6rG7XHzmQFTgdsEdPcVTmtGufs03ko8YQZHXLcZz60l/1+wWkSxyzZIWNTtT1x9KxbLsbGgZvI55WQLEGKoW6tRq+kJLayOgCSBSQw9az9Fil0WQ2b3AkQtn92xKdOoB6fSta7vDNfWtoqRsJlYOzIGwvXjJA7UMR5V4kyEQMMHPI/CuZXmQD866rxaP9IKg5AcgHGK5k7xINwI7Dit47Gb3PafhtZCPRo7jzhuYMPLHXr1rP8bWgHiGycSENIuAynGAXAx+tbXgFCPDFpIAXPzKR7bjzWF4+uc6nG0OQY4chsdDvHT8qw+0bdDnfFDhNPmtuS0U+3J6nBIFcXgk7cHNdhaE3s2bg+Y75diRnJ9cCoL2TRLHUZYZtLaWRGAJ88hScdeK2jpoZSXUl8M2zJY3EctsSzk7GwQ0Rx94Y6/Q1ovDe+czRzui7VO9skEjrWxY6/4eiCNDNbwHbhiSc/rVyTXtOaMfZ9QtF+fJ3NwR3/GtLaGdzgbzS52uGnimAVjzuBXH/wBbrUaRu+mJ5Ucqqsp3dxx6Gu91jUNNuNNb/S7cgKc7XBJGD0rkdMvtJhs54o2mBIynmkdeP0pXaQ0Ph0yO61C2hQYSZyC8hL7T2PFb95piWMZj2R3EmOdyYz+dYIvAkhdX+Y9DnBp32sv96ZmJPds1PMPlH3+laY9u0skaW0gGcqcfpXDygK7BW3AHAI71YvpmkvZgXJXecc9qrohdwo6k1a2Ie5H1OelGPyq5HZlyAx5JxhRk017XYxTJDAkMpHSncViqTgcUZP51OLZiT7HBHoKDbHazKQQDjNFxFegYx709kKnFNIxR0GBHy00e9LnjrzSc4600CFpBgijoKATnmgAwccHmmtknqRTjyCKUdOn6UkI6W4t2UkqMAHB2nOT601JV3COU5BGM45FRiYiORkZ8ZHBwc1KkaXkgRWRWCjBHG4/41mMiKGOL5XLbidy1GixENuZg2MoQMjOe/wCtPZ2WXa65IPOOtRSfu0BAARh0BzTsMbdEBxt4B6gdiKsaRa/abiR5Fby414PqTVBvmcjrzxXa+H9JMix2/wAy5G6Qg9KmcrI0hG5gz2zxPgBmTqCRUsCH7UoZSNnzcj0rvJvCUbRcS+YMj5WPBrndc01LGxuHjQpIiYADZC1lGpfQ1cbGjo96ZLWdyzlIZAjE9ASMgfkKuWkEc8lxqM13JaywuBb+WwyRjoQOozXMeFzDcMYL66lj81dwbcQMgcAgV0kmhxjZ5Mk3yMC8RkPzL3Ht9aHGzBMrXF+8kzSSMS56t6moI55zeRT74EjQElpYvMwcHAx6Go4PDt5/ae2a7l+yBmwQ3zHPT8q2F8M2yxOxurl8jj56FGwc3Q4rU3W6EktzGoI5BHTPtismS1+33bx2xmmIz5agbuOpz7da7+fw3apZyJ87bY2YbWwcgZ71n+FND+0yDUm1D7G8WJF5wz9c/hVqVkRy6nU/Di4K6B5EphQIcphvmOc5zXOePLkzapshcMioynaOeCCc/pUWoWzzOW85yN7PlAFPJyeg6e1U0sjBsCyuGVxKrMFJz9SOntWaa3NbdDJkzBp0N0BI+QBiPgj3rKeC61HUGWKFoywyBICvAHc1oajG9rprxrK5RLj5QTyuRk8+lZkWp3tu2+O5lBHq2f51tHYxbSepYfw7rEa7vshdfVHDZ/WqVzb3No2y4heJj2cYzWtH4r1NJAxMLrnlTGAD+VVNZ1qfWWhaaNI/KUgBfenHmvZjm6dvdM4EnJzQCM45pufSjOV461pYwOlg1ay/sq1tS8iSxMWMoQbsZPGanGq6Yu/y558kDGVyQc8/nXKLQ2PxpcqK5mSMAzsynuTg+lTwmPChsde3Wqm4jH86QOQKbRJdSbEpPJI+6RxTmm3j5grHk85rPzk5/OnAnOQeKLASlsnHfPUmnrIyHB6Z55qqT1yc0objGaYrE0ku+QsRjJ7CoOvJOTQW4NNGaBi9896XB7Ucnk09QT1AxQBGM45pD1H8qkdNvQdaay4IoAaTigg9jTguTj+dG1gcYoGbAl4KbQRuBJ9qVcwyb0YFkORjnOKXyd0pUIVyR29aliuRu2SqHDH5h0Pp1rMlEe7zZ2kYqhJLfKOKiuR5YOGUjPPrUxhZx+7wQOq554qnIx2kMPTBPamXYsaTGs+pwiTAjQ7mz0OO1ep+H5ILeG5kkZRjlmPYdq880SNIrTfIm9rg8DHQDpXSiLZCTG7ZK9jwawqam8NDqE8QW0u8CN1BGVbjDf4Vxetagk9veGbzEVlPPenvcSTAKpMYX7ykc/8A6qzdXkL6Vd5KsNuPdTkVEYpMtvQzBe28WkWjwyy/blZhIrJhQo+6VNamnazqTw3TxXTb7jaJJCf3gA6DPpXPPIU0e22kgGVsj14FaXhmTF2Rn5SGFdCSsYNu+hpfb9c+b/iZy/Qua6HTPE00NtFbtbARptTd5ucAdTjuSTWDLrCrcNCEYuDyFXJx+VSx3k0oZokKhTja0X61LsOzPQYp/tESyo+5WU1z1zpd5NfTG0hwkKByjMBuz/cHerfhyXzrWVHYb1cnA7DA6fjWre26z2wUfMwHY4z7E+nrWV9TRXscUswcdePyqUlHUhiAcdetNsrW/vtT1SW+jWN4UMr7F2rjsB2+lQS2moq0xNu37sxgRn77FxkKB3bHJHalKyLjdowtVgmn0+RIomlf7UOEXJ+7XNuhVyrDBHFdTc6ndaZYpcQxmNrictG0i9VA6j8RiuZnke4neR+WYljgdzXRTukc82myL6UHmlx7UlaXMmhpxSgGkbA6kUm8DjOKdwtccM9eKDyM45pOuMDP0qQQTMPljc/QGkFmRgUnbFTfZpjn90//AHyaRYZD0if/AL5NMZFinHI5HSnGJ05KkfUUhz0ouKww88UmKXpx1pe1IQ31zS9x6UYBIFPVRincYLwakXGCM9aaAMEc5HenowRlPBPX5qncRIQsmRkKQOBjio1hIOXU49h3o8w7SAMbvaniSUA5ZSAelMYRxKyZUru7qaVtseFZBkDr60wvkDaCrH8AacskRUeYHZvUGkO5orLlgHywCgc88VFIAHBVgSR2od03szfICcgL29qikJJ+Xp2welSCLEMj888rghhwRVdke7uxGnLSN/k1YLCOEnFP0+2meK4u4m2yRAeXxnce4/Kkyoq5uWiJAcw/K0QwVBzmrMUgMjSrcqq9GQnpn2rjmu2Ec8hmZJm7jv6ijTC0SBw5Ln5sE1DiaqVtDtd23/WEex9RVCVI72G4WaBoeGwA2dwHINUbS8lmn3PhQyZAzgDHX6VNLcDyJpJF2xupiyvY4/zzU8tmVfQ5x5UbT4Iz95XLeoIIH+FX9FnS0ZpiDtCNwPWsdpAVVehUYNdB4aCNcbZEDoUYFT3rboYvcsW9vL/bE8nzoHs3kjY5XI29c+ldFply8+mTbhEcIDlWYkcjHfpWNbyyXuvS22Y1iitJY135wileenfvXR2MAtNEEKOjhI8F16N8w5qGWjU8KX0MWn3Kyyxq0szbdxAzgds9a2I4YobiecNuaZVBBOQuO4rye8luBF9siQv9mmyQV+UZx1H1FWZfFGtXk0cjyiFZGw3loBj0qOS4+ax6edvzDIwRyQetc54h0uW8Ec9pcbLiOTzFDMcMcYIP4cVzSavqRTjUSfXMYp8Or3gkV5rsOoP3fLApchXMVNetru6stkkTtMs2Y4o8sACOQB25yce9M0HwhqFxfxtd6RetaDmQbTGT9CRVi71y+01Jrqxu5FZpigZT0HBIxWLJ4s1yWQu2p3DHnq5I/KtEpPYzbXU7W48P+E5EuAqXkcwVljQN91ugzk+tcC+g6oGKi23EHB2sDXUaNNHqEllF/a6LJKSJvOAGw4z+VdY/h/yCsr6vYPCqEvkAZGPY8mldxYWUjzGz0fymkbUrG6ZcDb5fTOecn6dK17M6XHdqkUcCoqkMhUFyfxHX+tP8Q6z9kvvIgMEsQA+eE43Y/E1RtvF91FeJLLbWsiA52/Z0B/PFWrsl2F1G1imhjFuCZg2WwuNwrdttFWCMG7RFLouFxzz1NMtrzUNR8meKwAe5kIiETAc9eB0FdBaaVq8qstzp8kaYw370AZ9SefrUuTWjKSRJF4e0y0KJcwRSTsjZRgQuOxOPwrkrKFFv57GDT4p1IIE6LvIJ+6M5HcYq1r2tz6ZcpaXSyeYm05DZwB2rEtvFkdvfiddLs1G7JZEIZh781UVIltI6zStN0BLiOHVbiSKYqWcSSbVBHbP41h+JzoNtqN3HbhHj2YiI5Abjoe/fmqp8U2sjMZLeTltygAYHORj0qWHxNpkkpM8MpRhyPKU4Pt7VPLJO5V4tWORlEYf92wK/yqNhwcV2q65oPnKZLYFQe0I6Vx9y0cl1K0QxGXYqPbPFaJt7mbSRCPWlyQec/hQaT9aqxKF3Ek80ck4NNzzmpMnH170wE3EcYpevcAU3POP50oH50hkhkI2gHOPWjarc4H0pmR70o3AcY/GkIuNzkE89aeqENgd6lCqW6c9c1o/Y8x+eygDaGJU/rU3GtTNvSqsERSO+D611WnwiCwhtvLIJBMmRnJPpWd4c0ltd1gsBmOFfOb6DgCu6tdJERcyNnPQY4rGcjenE8x1zSorOQZLfOeo7VUh2XEwCT4ZFxz8oNd5r1jqCXCSQW8csO354yuRWHdaE1+okgsFhdQNwUcEZ7D1pqeg3EqWECQsC1xEpkQgZ5JOelSXdhcSqwhETgnqvB/Kr9tazxReTJZb1B4DjB/WrVopjuCot5U3HBDDgGlfUdtLHnmACc+tdD4bYC5X/AHWH6U6Pw8L55nglG1ZSNo5KjPcVoQ6JLo95GXbzIzkgoPbofetb6GXLqS+HpCnjZv4W8mXnbnPyH/CuqMCnTpJkkI3rgRkdMEc57iuf08W8HiBNQ/eYKMrBcd1I/rXRXGpW88LRxzvkRBBHs2/MB161kzRIi0G2j/4RbxEkijktg8c5XOOa8wgmmmuU3yMwU8L0Fdldw3l3pd4tpcuD5y74l4DAr/Piubh0ue3n8+ePykiPzE8Bsd6qOhMiwrhU+YbSeOelTIF8rcRnPGfWlnvrZmgMbKygnJ257YqwkCz26SQLuCAh9p6+9A7GXrq/8S5li+UrcZbnqcf54rNn0y5trRbiRR5bYw2fXpWvqSxvo91NuBZLpcehyKwJL2WSIRNM7RjHylsgVcTOSGBmx6CniVmUjJ57VAXH96l3DPWtNCFccceuBSFueKTcAOuaaSe1F9Qsy/a6peWDq9rcyxMpypRiMGtKXxjr00Rjk1W6ZWGCN+Mj8KwB82c8UDGaVkPVE008kz7ndnPqxyag5/CjJz7UoFVcVmJzQDgYpSelBPcUriSYufemjOKB70ucc0XDUQ0vajjGMfjRxRcBeOM8Uh607tQFyelCYCjnkLk0pRnJYjHrTlVQM5OanD/OreWuMYI7HjqaLgysIixUBSd3QCnqQBgNt9qmZAF4c5HpUbRk7TheR60rjRrBRyzADaucUklzJcrHZ2wZi5weP88VWkaae4WGMMXJ27R/KrkzJpcTWkDA3sgxJIP4B/dHvUWGi7Z6qvh1mRGZpMYkaJ9uW9PerP8AwnDlF3wzsf8AZn/+tXKiDAIY5bPOaa0LxHP4g0+VPcHUa2Oqbxo7AhopyvYGXOKVfG+1cLbyqO2JK5YY8tsqckdqiwB1zxRyRYvaM7JfGygbmjnPPQspzTU8X2yl2EVyHIP8Q5zXHFunbFLn5MbeexoVND9ozoLXV9OtZWliF1DI5O4rhv8A9dT/ANvQPw17dEZzgxg1y+D371PBD5rHt7CnyoOdnRx6lYPNhbyRWbH3oBU0l7EJX2zAqOATCtc/uVoRDIqjacqyr+BqKRBncDu28kg9fep5UNTZ1cWqiHhLkRgjL/uRz71XudRsbm3ZZNQLI5IJ8jBP+FcyI8gPH25IJ71LC4VhIDjsexU9jT5EHPc3be80u1thbi6UgfxNGaet9YtuCX0cYwQcA85HWsURpPMrNtEZ4ZsdD61Xkt283JG1emR0NHKg52jc1G8hSxLwXFtLIrgbFHBHrg1kDWpACDa2xPr5YqsIlKZJ5zjH9aUWy8E/LzyDQoicmWl1LKgvZ2oHqUH+FP8At9uXObG1PGNxTjNVopv3BglTKBsqe4OMYz6Uzy1UKM5HB+UcinZBctfaoAuP7Nt2U5w2KV72ycqp0eDPTjPzVXZeHaPOzvTVUuGYknGOFosFycXVh0OlRtjkgMakWbSWgMn9mKSCcpvPA9aqA7/mQjJ4OO9RFSrspPA4Iz1p2uLmLgl0gnP9mkDOT856VK0mhmIZ0yZSe4mNU1QeXhcklPmBHP4U0L5oygztHOOOnelYFIuNHowO1rS4BPpLmlKeHgcGG9UEcYccVRZiwCN2PUHjFDbiMMMduaOUfMywIdEwSftQA9CKakGiHhpLwflVY/KAAByMEkdaVY0YMAjBuoxyKLWFzFoWmiEnN1dA/wC6Kz7iOKOZlgctEeVY9fxpzRHbkHOevtSFPJfHDU0h3uIkTEErghefwoYhTzwTSFz2JANNxuOAMmnsQx3mccj8QOakieMEq6lwenODUaIhUlmxkHH1oZMIG4xuxjPNFh2LMcg2YBxgFTk9c1E7GNyuQfcGo2wvO1vxNAC9s0rDN+N10vThNDh7uYcu38Az0HvVJbdXldiw3k5GfWkgQbihLFc5wT3qaZQJAAMDC/qKlEthGFLsNvzdsdPxqGddjFdpVcn86lj/AIvXHWorl2K8nOTk0IgrxZZwuVUk456VJcIFIDJtkAwwx0HYijaDk4HBFSSoougoGAVqiuhCsBEBlGQpO09xjFRzAKxQqM/SrtuAyyxkfKFB/wA/nVR1DEseuKGMdbwl+MZJUkflUojTylYcE8E56e9Nt1G7HPQD8KcRu8/JOVxg596YCxO6NlSGUqVPfg1MIVZIpYDtDN5bBu3ufas8krLgHvmrIY/ZlkHDZwfcUMBiDBbkLg4+hp+0R7A44PBx0IoIzKFPQryPXio1ds7SSVVuAaAAP5eUAbaDjINSmR2tigYeVndj0NV3crJIV45xirNoim+hUj5WbaR7YpDGuF2rnhj94qO1LOWxHKVBVuAQe4qSCFDfRwEExucEZ9jUBYjzEz8gbIXtTsMl8nkxxMsiMARxyO5pivtzhTkHpimwHClu6rkVHKxMpfoT2HSiwE/Ji3Ljb3BPpULOu0lG8uRewPWnAA+WdoB5yR35quAGcEgc4zikBNvVhGkSv52AvH8R7VEMyNk5LD06jHtUixh9zEncF3Ag4wRTV4lU4GS2CaGKw4F1Us5GHHBNNZjt3AAqxPA/WnxuWaRG+ZeuD9ama3SN7jbkBGwBnigZUdw4Xcu0j5T9KezmRAGViyjGfarceJdIckAGOQYI759arht0ibgCPTFO4hqDcpUKoJ6HNOt2MchJUPjjb2NNYeXcOqkgDPeoRkt1I9hSGWDtiTcVyQ5Htj0qGd1lO9A24scgdBzxihZnRWUEEEDIIzT4UBcjJGM9DQBBHEZJNq+5zTvKKruORk4wOvSnD5ZBg/e6/nTsk71JOEBxQKxGyYjUgECm43TIHbYrEcnpj1qYE7WXttzionZhsOScBetGwNDfLKnkZXFSqdmRtTr0dcmnhRvI7U0Oz9SeOKaYz//Z\",\n 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\",\n 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" [theme=dark] .colab-df-convert:hover {\n",
" background-color: #434B5C;\n",
" box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
" filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
" fill: #FFFFFF;\n",
" }\n",
" </style>\n",
"\n",
" <script>\n",
" const buttonEl =\n",
" document.querySelector('#df-bd97ac81-772c-4b8e-9efa-ed5128a6cc85 button.colab-df-convert');\n",
" buttonEl.style.display =\n",
" google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
"\n",
" async function convertToInteractive(key) {\n",
" const element = document.querySelector('#df-bd97ac81-772c-4b8e-9efa-ed5128a6cc85');\n",
" const dataTable =\n",
" await google.colab.kernel.invokeFunction('convertToInteractive',\n",
" [key], {});\n",
" if (!dataTable) return;\n",
"\n",
" const docLinkHtml = 'Like what you see? Visit the ' +\n",
" '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
" + ' to learn more about interactive tables.';\n",
" element.innerHTML = '';\n",
" dataTable['output_type'] = 'display_data';\n",
" await google.colab.output.renderOutput(dataTable, element);\n",
" const docLink = document.createElement('div');\n",
" docLink.innerHTML = docLinkHtml;\n",
" element.appendChild(docLink);\n",
" }\n",
" </script>\n",
" </div>\n",
"\n",
"\n",
" <div id=\"df-21a865f2-5b3f-4da1-9491-6dc9d757d403\">\n",
" <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-21a865f2-5b3f-4da1-9491-6dc9d757d403')\"\n",
" title=\"Suggest charts\"\n",
" style=\"display:none;\">\n",
"\n",
"<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
" width=\"24px\">\n",
" <g>\n",
" <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
" </g>\n",
"</svg>\n",
" </button>\n",
"\n",
"<style>\n",
" .colab-df-quickchart {\n",
" --bg-color: #E8F0FE;\n",
" --fill-color: #1967D2;\n",
" --hover-bg-color: #E2EBFA;\n",
" --hover-fill-color: #174EA6;\n",
" --disabled-fill-color: #AAA;\n",
" --disabled-bg-color: #DDD;\n",
" }\n",
"\n",
" [theme=dark] .colab-df-quickchart {\n",
" --bg-color: #3B4455;\n",
" --fill-color: #D2E3FC;\n",
" --hover-bg-color: #434B5C;\n",
" --hover-fill-color: #FFFFFF;\n",
" --disabled-bg-color: #3B4455;\n",
" --disabled-fill-color: #666;\n",
" }\n",
"\n",
" .colab-df-quickchart {\n",
" background-color: var(--bg-color);\n",
" border: none;\n",
" border-radius: 50%;\n",
" cursor: pointer;\n",
" display: none;\n",
" fill: var(--fill-color);\n",
" height: 32px;\n",
" padding: 0;\n",
" width: 32px;\n",
" }\n",
"\n",
" .colab-df-quickchart:hover {\n",
" background-color: var(--hover-bg-color);\n",
" box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
" fill: var(--button-hover-fill-color);\n",
" }\n",
"\n",
" .colab-df-quickchart-complete:disabled,\n",
" .colab-df-quickchart-complete:disabled:hover {\n",
" background-color: var(--disabled-bg-color);\n",
" fill: var(--disabled-fill-color);\n",
" box-shadow: none;\n",
" }\n",
"\n",
" .colab-df-spinner {\n",
" border: 2px solid var(--fill-color);\n",
" border-color: transparent;\n",
" border-bottom-color: var(--fill-color);\n",
" animation:\n",
" spin 1s steps(1) infinite;\n",
" }\n",
"\n",
" @keyframes spin {\n",
" 0% {\n",
" border-color: transparent;\n",
" border-bottom-color: var(--fill-color);\n",
" border-left-color: var(--fill-color);\n",
" }\n",
" 20% {\n",
" border-color: transparent;\n",
" border-left-color: var(--fill-color);\n",
" border-top-color: var(--fill-color);\n",
" }\n",
" 30% {\n",
" border-color: transparent;\n",
" border-left-color: var(--fill-color);\n",
" border-top-color: var(--fill-color);\n",
" border-right-color: var(--fill-color);\n",
" }\n",
" 40% {\n",
" border-color: transparent;\n",
" border-right-color: var(--fill-color);\n",
" border-top-color: var(--fill-color);\n",
" }\n",
" 60% {\n",
" border-color: transparent;\n",
" border-right-color: var(--fill-color);\n",
" }\n",
" 80% {\n",
" border-color: transparent;\n",
" border-right-color: var(--fill-color);\n",
" border-bottom-color: var(--fill-color);\n",
" }\n",
" 90% {\n",
" border-color: transparent;\n",
" border-bottom-color: var(--fill-color);\n",
" }\n",
" }\n",
"</style>\n",
"\n",
" <script>\n",
" async function quickchart(key) {\n",
" const quickchartButtonEl =\n",
" document.querySelector('#' + key + ' button');\n",
" quickchartButtonEl.disabled = true; // To prevent multiple clicks.\n",
" quickchartButtonEl.classList.add('colab-df-spinner');\n",
" try {\n",
" const charts = await google.colab.kernel.invokeFunction(\n",
" 'suggestCharts', [key], {});\n",
" } catch (error) {\n",
" console.error('Error during call to suggestCharts:', error);\n",
" }\n",
" quickchartButtonEl.classList.remove('colab-df-spinner');\n",
" quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
" }\n",
" (() => {\n",
" let quickchartButtonEl =\n",
" document.querySelector('#df-21a865f2-5b3f-4da1-9491-6dc9d757d403 button');\n",
" quickchartButtonEl.style.display =\n",
" google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
" })();\n",
" </script>\n",
" </div>\n",
"\n",
" </div>\n",
" </div>\n"
],
"text/plain": [
" label img_path \\\n",
"0 Bridge satellite_dataset/AID/Bridge/bridge_268.jpg \n",
"1 Mountain satellite_dataset/AID/Mountain/mountain_220.jpg \n",
"2 Park satellite_dataset/AID/Park/park_161.jpg \n",
"3 Farmland satellite_dataset/AID/Farmland/farmland_173.jpg \n",
"4 Center satellite_dataset/AID/Center/center_256.jpg \n",
"\n",
" img_b64 \n",
"0 data:image/jpeg;base64,/9j/4AAQSkZJRgABAQAAAQA... \n",
"1 data:image/jpeg;base64,/9j/4AAQSkZJRgABAQAAAQA... \n",
"2 data:image/jpeg;base64,/9j/4AAQSkZJRgABAQAAAQA... \n",
"3 data:image/jpeg;base64,/9j/4AAQSkZJRgABAQAAAQA... \n",
"4 data:image/jpeg;base64,/9j/4AAQSkZJRgABAQAAAQA... "
]
},
"execution_count": 5,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"from pathlib import Path\n",
"import pandas as pd\n",
"from PIL import Image\n",
"import base64\n",
"import io\n",
"from sklearn.model_selection import train_test_split\n",
"\n",
"# ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~\n",
"# Extract pairs of (image, label)\n",
"# ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~\n",
"\n",
"root_dir = Path() / \"satellite_dataset\" / \"AID\"\n",
"data = []\n",
"for d in root_dir.iterdir():\n",
" if not d.is_dir():\n",
" continue\n",
" data.extend([{\"label\": d.name, \"img_path\": p} for p in d.iterdir()])\n",
"\n",
"dataset_df = pd.DataFrame(data)\n",
"classes = [*dataset_df[\"label\"].unique()]\n",
"\n",
"# ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~\n",
"# Load image and encode in base64 (this might take a few minutes)\n",
"# ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~\n",
"# NOTE: This is not needed here, but a nice additional step would be to resize\n",
"# the images into 1024 longest edge (if the image was too big)\n",
"# For more details see: https://docs.mistral.ai/capabilities/vision/\n",
"\n",
"def encode_image_to_base64(image_path: str | Path) -> str:\n",
" image = Image.open(image_path)\n",
"\n",
" # Resize the image by a factor of 0.5\n",
" new_size = (image.width // 2, image.height // 2)\n",
" image = image.resize(new_size, Image.Resampling.LANCZOS)\n",
"\n",
" buffer = io.BytesIO()\n",
" image.save(buffer, format='JPEG')\n",
" buffer.seek(0)\n",
"\n",
" encoded_string = (\n",
" \"data:image/jpeg;base64,\"\n",
" + base64.b64encode(buffer.read()).decode('utf-8')\n",
" )\n",
"\n",
" return encoded_string\n",
"\n",
"\n",
"dataset_df[\"img_b64\"] = [\n",
" encode_image_to_base64(img_path)\n",
" for img_path in dataset_df[\"img_path\"]\n",
"]\n",
"\n",
"\n",
"# ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~\n",
"# Split dataset in train / test\n",
"# ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~\n",
"\n",
"train_df, test_df = train_test_split(\n",
" dataset_df,\n",
" test_size=0.2,\n",
" random_state=42,\n",
" stratify=dataset_df[\"label\"]\n",
")\n",
"train_df = train_df.reset_index(drop=True)\n",
"test_df = test_df.reset_index(drop=True)\n",
"\n",
"# Release a bit of memory\n",
"del dataset_df\n",
"\n",
"\n",
"# ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~\n",
"# Light check at the data\n",
"# ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~\n",
"print(\"Classes:\", classes)\n",
"print(\"Size train:\", len(train_df))\n",
"print(\"Size test:\", len(test_df))\n",
"\n",
"train_df.head()"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 720
},
"id": "Eaqq1qqvecxe",
"outputId": "8d4f8374-5ab7-45e3-c062-679a9777a1c9"
},
"outputs": [
{
"data": {
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"<h2>Bridge</h2><img 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\" 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"<h2>Park</h2><img 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\" />"
],
"text/plain": [
"<IPython.core.display.HTML object>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"from IPython.display import display, HTML\n",
"\n",
"def display_image(dataset_df: pd.DataFrame, idx: int) -> None:\n",
" img_b64 = dataset_df[\"img_b64\"].iloc[idx]\n",
" label = dataset_df[\"label\"].iloc[idx]\n",
" display(HTML(f'<h2>{label}</h2><img src=\"{img_b64}\" />'))\n",
"\n",
"display_image(train_df, idx=0)\n",
"display_image(train_df, idx=2)"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "L3mXSwG0mawL"
},
"source": [
"## Prepare a jsonl dataset for Mistral API"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "s_3XRXvekyK9",
"outputId": "6cacf837-88eb-4ef1-bc59-1242e833276e"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Instruction prompt:\n",
"Classify the following image into the category it belongs to.\n",
"- These category labels are School; Farmland; Airport; BaseballField; Resort; Viaduct; Forest; Beach; Parking; MediumResidential; Pond; Park; Port; Meadow; BareLand; Playground; SparseResidential; Desert; DenseResidential; Bridge; Square; River; StorageTanks; Commercial; Center; Stadium; Industrial; RailwayStation; Mountain; Church.\n",
"- Output your result using exclusively the following schema: {'image_description': FieldInfo(annotation=str, required=True), 'label': FieldInfo(annotation=str, required=True)}\n",
"- Put your results between a json tag\n",
" ```json\n",
" ```\n"
]
}
],
"source": [
"# NOTE: We had to engineer a slighlty complex system prompt as the current\n",
"# finetuning of Pixtral-12B (July 2nd 2025) misses a few features that more\n",
"# recent models offer:\n",
"# - The Classifier Factory in LaPlateforme only supports ministral-3b for now\n",
"# See: https://docs.mistral.ai/capabilities/finetuning/classifier_factory/\n",
"# - Structured outputs are not supported by Pixtral-12B\n",
"\n",
"from pydantic import BaseModel\n",
"\n",
"class ClassifierOutput(BaseModel):\n",
" image_description: str\n",
" label: str\n",
"\n",
"instruction_prompt = f\"\"\"\n",
"Classify the following image into the category it belongs to.\n",
"- These category labels are {'; '.join(classes)}.\n",
"- Output your result using exclusively the following schema: {ClassifierOutput.model_fields}\n",
"- Put your results between a json tag\n",
" ```json\n",
" ```\n",
"\"\"\".strip()\n",
"\n",
"print(\"Instruction prompt:\")\n",
"print(instruction_prompt)"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {
"id": "Ms-vr-g_nLgX"
},
"outputs": [],
"source": [
"# ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~\n",
"# Template functions to generate valid objects according to\n",
"# Mistral's schemas\n",
"# ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~\n",
"\n",
"from mistralai.models import UserMessage, SystemMessage, AssistantMessage\n",
"\n",
"def _template_inference_message(\n",
" img_b64: str\n",
") -> list[SystemMessage | UserMessage]:\n",
" return [\n",
" SystemMessage(content=instruction_prompt),\n",
" UserMessage(content=[{\"type\": \"image_url\", \"image_url\": img_b64}])\n",
" ]\n",
"\n",
"def _assistant_message(label: str) -> str:\n",
" return f\"\"\"\n",
" ```json\n",
" {{\n",
" \"image_description\": \"An aerial view of a {label.lower()}\",\n",
" \"label\": \"{label}\"\n",
" }}\n",
" ```\n",
"\n",
" \"\"\".strip()\n",
"\n",
"\n",
"def _template_finetuning_message(\n",
" img_b64: str, label: str\n",
") -> list[SystemMessage | UserMessage | AssistantMessage]:\n",
" return [\n",
" SystemMessage(content=instruction_prompt),\n",
" UserMessage(content=[{\"type\": \"image_url\", \"image_url\": img_b64}]),\n",
" AssistantMessage(content=_assistant_message(label))\n",
" ]"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "yDGTQQ1X5gtr",
"outputId": "9a7ccb61-f410-48ae-8985-5a53512b40cb"
},
"outputs": [
{
"data": {
"text/plain": [
"[SystemMessage(content=\"Classify the following image into the category it belongs to.\\n- These category labels are School; Farmland; Airport; BaseballField; Resort; Viaduct; Forest; Beach; Parking; MediumResidential; Pond; Park; Port; Meadow; BareLand; Playground; SparseResidential; Desert; DenseResidential; Bridge; Square; River; StorageTanks; Commercial; Center; Stadium; Industrial; RailwayStation; Mountain; Church.\\n- Output your result using exclusively the following schema: {'image_description': FieldInfo(annotation=str, required=True), 'label': FieldInfo(annotation=str, required=True)}\\n- Put your results between a json tag\\n ```json\\n ```\", role='system'),\n",
" UserMessage(content=[ImageURLChunk(image_url='data:image/jpeg;base64,/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0aHBwgJC4nICIsIxwcKDcpLDAxNDQ0Hyc5PTgyPC4zNDL/2wBDAQkJCQwLDBgNDRgyIRwhMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjL/wAARCAEsASwDASIAAhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQAAAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWmp6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEAAwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSExBhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElKU1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwDyOlpM0tQAtApO9FMBx6UoPFNzSUAPzmlzTBS0AI2ab3p2eKaeaBDSMUYNBPNIOtAx3QUZxzScYpaAJM0m7k0ncUq0AOyexpwYhuCRTAcYpSTQBtaTqwtv3M4Z7YnLRg9D6j0P866S3MM8cstrIJ4FjZSHJV1B7H0Gc+1cDnFXLDUJrSdJY32up+Unp9CO4qHHqK1zqrPTRYo/l+Wj4+Yseo/Ol1DTjK8cEStkqQRGcfr6Zqex1Ox1G3eFUS3u2GEV2+VjnIwTnn69Peopru+sWXagYFyD5rZKjvx0PcVm7iu0rEemX8+kxCzyJPKIwJiADluAp/hOMj0P15rsLG+tryNgIGzHkPE3Bib12j5h/KuI1eGHUfEduynbE6jeoQkZx3B9elaes2wsBZXkchhuFRY0aNzlwOm45464BHTjNaJ3Wo0dNAY3V51KlAfkOeoHHJ+oPp0FMuQIwQpHHH1qppGy+0lJrkKWkaQOQgBPJIJx3I60ty8lxKBGUABBf0I9B6GrSGEQJAzyzng1osu2IBMYUc5qlFOgkcHhwB8pHQH/APVTobpnL5TGGIXjjAOOT60AamlavdaPM8loVw+PMik5Rsd+Oh9xTtcvbfWLmPUJ7SJZokwrLksvpz3GexqjHIjPgjH1plwx3BRjjmgCsQVUAkF2P+f1p2plrHQzDEGM1yCzYP3YlIyfxP8AWpbSEXVwq5ITO0HPT2/qKw9duPter3UcTYjgbyFCnAAGOCPrzUydkDM0ttkjz/EpH6it7TMpbEkfebOa5yZoo7iNnkVQN/3j2Ayf5V0doVFpDtOcpyex5qYLUhbmtdol1pzxybgjxFSVxkfTNcf4KtHtfF1o0mThZPKVRlixUjgd8/4V20bA2i46jpge9ctqtjLJqL3Fpcvbz8fMjFGHrtYcjNXdp3G0epjwLI6i/dis/wB5rHgoR1257H9M8dK8n+JI83xUNkbjbbRqVLFCp54I7YqJZNdEdtI95fIrSsrqL2UkKo64z0Pr7H8a1xZSX8guprtnaQA7piXJH1JziqcwSVzh+9KcAUAUh61JQopc0lHSmAtHQUnvRmkAo4pc03qaXI7UwFzTT0pc0HpSAYetHSl7ikJpgAFHtS8+9J17UAPxwKAeetJ9KO9ADs8ZxSk5FJ0pBjPJoAd2xSd+KTigUAWIZ2Q+1b1jrajbHdxtOg6Hfhh+Pfv+dc0D7VICQeOKlxuB6XBY2XiG2WXTbuKCe3AYxSn5x9R3+tZnjDVLK1e2tNrTXMUZDFWGFJx19zjpXFx6jc2DLNbytHMv3GHUV0HgTSpda1l9Qu0MlrZMJpWf/lrMeVX355P0HrQorqB2tpbnS9GVZV2z3B810/u5GAD+GTTYFYjCfKW6kelOvZjdXUjl2ZVbr2NZOr3tzHbPb2UJklZMyvtyEQ8ADpljzx2Aq9kBI+t6fb6hIpjluHAWOJIpAA7ZyRz93joTwenFdSNHP2V7m3Z5E3FjHIu2RQeeR0zzyP515Fa6cz30YuZSqM3zZHXnHOPevSdN1ibQ5I1kLy2TEsyghnXjkg55A449qz5kO2l0TFFWMvnK9armTcCR0PT1qe/kikuWW1fMMn7xQOhB5GKr26CWfJO1E7nt/wDXqxGhZkW4Rye4J/OuZ8RWc+na1MqqxWaTzAxPGxv4vw6Vuagb5bRzpjRrergqrYIPPOM98VJatHrekw2utILe4jztkjOTGQcZAPJU+h/+vUyVwOatpLRYJN0Kvc5Yxu7AKAQAQT1H5Glgh1eK+VxPC9jvUCMqD8nT5SBkEcdfeptT0W+0mdEnjWWKQZhmQ/JL6AHsfY/rTtI1Fr6R4ZbdoJ0GShztZc4yCfcdDSiwjF2OsSArYr83OAce1Z91aec+8BQBjdj73/162IvnslG48AhRWfnDkdc9RnGaoClcW2LaSFDgkFQfTPeuW1jw9cX96JUlkRAm1Q2HbGSRklhzzj8K7K4vLeIxCaWKNpm2IHP3mxyB+VRQS215Ak9u6yRMPldOQapaAeLZozg0lAqQHZpBzRQcCmAd/ajvRQetIBaB1o69KAMUALSUuKOKAGAfzpc57UvFAGOlACAUD2pR70YpgAB9qMUvQUdaACjmiigAo5ozS0AGaXPBJ7UlRSyYGzPPegAjjnvbqOC2jMk0riONB1ZicAV7Pa6dF4a0CDSbdg0gy00i/wAcp+8307D6CuW+G2hiMSeIrlcLHuitM/3sfPJ+A4HuTXTPKZ5mlbOOij0/z1+tMCCRo7aEyykiKIb3APU+n4nisPSNeg1CG9sruNXuJm320rHgHjIOOcYHHtVXxbqpDjTYWOF5lIPU9Mfh0+pPpXHvKyMChw2eCOopSV9BpHe6Tax3FwiBWD7wgfHyAlsZHryRV1rw6kwsnSWExEvPCyFDGo/hxju2emR0rzy616+mtktmu5DCgAAPBGDkDI98fkK6m1mvrfTn1CXU5by+kHn3izZcdOFLdVYAfiexqFSBOysdFDDd3UsiW24R+WZp38oN9niBCjKkgEknAwc4DYHGK0IYE3BLqRYF8gT5lPQZx19M469aqeHNVhupnF3JJaQ+Ws0sEjYU4GVz6jqc+3OOlZuuXup+JbkS6RDf/YYCVWT7KyI/T5tzgKPx6AVbfYk6BLCKWIzWN/bXIQ4dYm+dPqKz9b0pNYtUjuJninibfDcJ/CenzD+o5HasCPS9Us5opbXV0fUVG5bdZhMxHHBAG1v90MTx0rotL8R22sulpqKxWWqMAibeIbgj+6T0b/ZPPpmkmM1tJuXtdOjsdRCXSFAsm8ZWQ+v196fcaQsRNzYlpLfOXUjLx/X1HvVZ4pLZjFKhAz3GCD/T+RqzbXMtqQyMSnTjqPb/AOtRYEyWFmES5OOfu5zn6VVmGH9s1pQLBdljCVWU9EPAb6ehrl/EmrR6JNHaXYuVMyMVniwNh7A5BPXrgE46A01qA/UNNa/ntmEmwW8rS45+bcMfzFSaVZnTtNitmYsyZyd2c5JPU1LZ+aEkjmvIrsxnC3MKFBMvBDFT9084x368Zq7Gyhemfyok3Ya7HhYFA60lL3oEGKMCg0CkAUZpe9JQAvajNHakoAcDxSduaKKAAjiijPFHagBR0pabS9aADHFGaKKACgHNJ1pRTAWikooAGbapapdE0m41/WrfT4G2vM3zSEcRoOWY/Qf0qlO+59o6L1r1LwPo7aHo0mo3MYW5v4gRkfMkXVR9W6n8KYG/eCG2trfTLBNltCixxqOyDpn3PU1k6nqCaXYvcZAYfLEPVvXHt1+pAq4CzMXJG9zjn/P+QK4DxNqn9oah5cbEwQ8J7+/4nn8vSjYDGmlMsjTSHLE5JzVaR8Ak9T2pZSSwANJBbSX95HbxZ3MeoGdo7mhIZu+FNJW5efUrhQ0MAIjVhw7kfyFb2pRITKIf3cce0uUXq56L79QcepFVZ1W00+H7FFsaBfLiYnbI5PJGBwy8E89B2q7afPHtlBEdsQ8sg/5atjOcnvk8+/0pklO6uZNK0qPeEW+m4wRlkUdM9uwOOR92sa71G71FzJf3k92/XNxIZP0JwPwFM1TUG1LUJLgnEfSNfRf8/wBKpAnPWoepSOss9ciuVWK9T2Mijgjtkf1Fa13pVprKGQSK+5Rhz8xc/wC3/e/3vvD3rgFkKngkVoWWqTWz7kkZD7dDUWa2Gmjq9N1680GQ2OsedeWCj74/eTwg9Cpz86ex59PSuoj8uaBbqynjuLWUfLJGdyn29j7HmuRtdXtdTTyL6NAx5VwdoJ/3v4T/AD96bHHqfhu5e606VHgbHnwsv7mXP99f4T0w4/8ArVSl3Brsdequj7oc567M9Pf3H6itGU2Ws2jWuoxLJuGCzjP0zWNpesWWuCT7KJIbmIbpbSY/vEH94EfeX3HTvV/ZuO5TtfrkdDVEE8tjJECm0AbcAqOD6Y9KqhMcSLhvQ8Vbi1ExKIZicZwF9T6D3q35XmAOpQAgHEgwwoGfO+KO9LR2pAJRnFLRigBKKMUZ6UALSY9KUetJ3oAXoOaXtSd6KADFL2pM0A0AGc0opKXimAvrSZ5oopAIKXFIOKXrTAKbI+xM9+1OqrK+9s87R6UIDd8G6ANf16OKZT9itx5903+yDwv/AAI4H0zXq1/cG6utvRV5bHb2H0HFZ/h7Sv8AhGPC6QSIBfXJE1yMchiPkT/gI6++akLLFGzyNtAG92PYDkmmu4mZPiTUhY6a6If3s42qAcYXv+fT6ZrzyQ4BOcn37mtLW9RbUtQeU8Ipwq/3R0x+HT659ayZTyCeg5pMpEUrFRgdTXV+ErSG2s5rqV1+1zjEKk4KoDksPc4rmtOtP7S1JImP7snL47L/APXrr9SilaAQwOn7wYWOL5giDjJPXOTj0yfaqJbC5N1faoGhhVLNnMUMhAzJjBZwOuM4we4GO9V/EF2lrbR6VA2SBmZh1P8A+vn8PrWm86Wdi99KWZFXZbk/e2kf145+lcW8ryStJIdzucsfekwQ3ODS0080dKQx3enZpg5OaUEUATxTFPp6VuaXrktq6DPmQjrG5zgd8f4dDXO5/KnBypGKloaZ2Vzp63LJfaNNIskZ3KYH2tG3+wev1Q/hnpWvo/iNNRlgtNU8uO/D/u5kG2Kc4P8A3w/PToc9q4rTtRe1mV15BwHU8hl9Mf55roLyxi1RZnCR5cBlJbCz59ewb3H4+tSpW3B2Owul3yQKwwyTbSXUjAKnOP0qZTcRqFXDgDg7c1yWmeKriLyrDVY2nRW+W5CnzIwATh17jHfr/OpNK8YiS1Zr2MmTeceTExULgYHGa1WpJ5nS0UnWpGGaWkxmgUAL60lKKMZoATpRS4waSgAzS0Y4pe1ACdqSloFAB0oFAGKWgBaQjvR68UtACYpcUUdBk9BQBFO+1cetdL8PNCGp64b+4j3WWnkSMCMiSX+Bfz5P0HrXKhZbq4WOFGklkYJGi9WJOAB9TXtFlp8fhjw7b6VGwM65ad1/jlP3j9B0H4VXkIluZzdXbM53BTyc/ePf/CuZ8VaqLe1+yxuDNLguR/COoH9fwHrW7I6Wls7zEbUUu/v7D36D8a801G9kv72S4c53E4x0+o/T8AKHoCKfTiq07jBHtzT3IJLZIAHFWtDsf7R1APOrG3hAkmKjt2HtmhDudP4dsItO0WSW6QpNcqJGaReFjHIGffGfwqxJbSTTxFGZHu5N2CMFIh0B/Dv6k+lLqfnXgdIpLjyhDmWQxbggPCIc4BBweeSADikvLtdM02S4UFZJ/lhUjOwen8//AB6mTuY/iO/FxdLawuGitxjI7n3/AM9/asTvSsSxJYksTkk9zTc81JQtFNzThQAZ4opM0tAAKdnIpveimwRIjlR059a2tK1iS1wjBZIt2SjjqO+D2rC5FOR8GoauM9Dlkt2jivXEbbziOVhwFx91hzkfy9xwYLLRMwsTcwKxYkq4GR/THpjj0rndK1NrWQsgByCMY7njIqvFq91ZJ5Dyk7STh1R8Z543KSBkk496SQNoxc5pMUCl61QgozSDrR3oADSigUUABoIpaSgBKM80uKB0oAD1opaTtQAvaiiigA7UtAHrS4xTASobiQ42Dv1qVm2oSegqOytLjVNRgs7ZN9zcyCONfc/0HU/ShAdt8M9EEl1N4guE/dWZ8u1DDhpiOW/4CD+Z9q62SX7RctMT8q8Ln+f9anmt4NI0y10axOYYE8sHu5/iY+7HNUb25TT7GSc7SIlzgnAZv8/oKa7iZzni/UdqpYRsQ33pcHvjgH6A/m3tXGSN27n0q1eXD3VxJPIxZ3Ocn/P+c1nSN1Y/pSGNnkAyD0HJrv8Aw7DHpWnJBcRNaTXTCX94AFYEfKgb+9jnDY68VyXh/R5NVu2lY7YYWUliMhm7LXR6jLI7GO7DXISQNNIVyWb7wXb0xxnj1WqEzRu7BJL9FMbQqTuuBkhdo6Aj1J/lXL69qP27UCEUCKH5FAPHHH/1q19Su3sNFEXnfvLht8S85RO3J5IAA69setcmQB047UmwSDPNJ3oopDFJpR0ptKKAD+KnU3vSigQtFISOlLnGT6U+gIUEGjNPuLSeydUZA6ycxPEd6yD/AGSOv9KjmsNRtrOC+ntZY7Wcny5Wxh8HHHOcZBGehINCVyvUs21wbd93y4PBzWvDoB1GP7R5bgng8H6/1qDQPD66/b3U7SYa3ZFWEMFLA9Se+O39a7/wdZlNC3SvcKzzOQqMMADgevYd6VhM8iooxS0hIb3pe9JnkUv40DCgUClwOtABSUHml6CgAopKPY0ALRQKKAClpKKAF706m0juEQk0wILiTJCAnHevRPhrows7K48R3KYeQNb2RI6D/lpIP/QR+NcLomkT6/rNtp8JKtM3zyf880HLN+A/pXsl60UUNvp9ogjt4Y1jjUdkHTPuepo8gK+4yytMwPPCj0/z/WuN8W6os0q2UUmUj5cqeC3f8sY/A+tdPql+umadJPn5lGyLj+L1/Dr9SK8ymkaR2lc/Mxyf8KbEiKVxuC55IqtKGmmWGMFnZgoA7k9KfIdoy3ftW74V0c3LyahLlY0YRRN33nuPp/Wkhtm3BJH4f0+KyaNH2FXJRvnaU9QynkegIq0ttDMEilxNCgaaZgflkdsH8ev5bfSqN3GySoQgZbeT5CDnfKOck9Tjgc55J9Kj12ddP01dPiYebKS0pHUZ5P06/r7VRJiatftqWoSTZymcJ9PX/PtVA5o6dKDUlCUdqWkoEKPWikHWnUAB9qAMUYxRQAZpRzzSUo60wOp8D+HD4n1VdPe4ljtjIXuEXOPKC5O3tuYgL9Oa3fHOm3T+L7ryrW1hitlhgs4SuN6IowoU9s7vYiuI0rWL/RbwXenXDQTY2sQMhlzkqw7jiu6tvFI8T30M91I0N1BbLBHa+YxTAzl1z1JyOvI569amdRwhdHThKMa1ZQlszBbwxdWMcd1ptyy36As6KQFJPUJ2x22ng47VGmtSuW+1PPbzhsSICo+bucMcj6V1s25InaNQ7gcKW2gn3PYep7CqxtY7ol73TImmX5D5iRyEY9GyQR1wRxXHTxErXlqe7jMqo86jSdnb8Dy/vS0lGa7D5oKOtKTxSDpQAUtJS0AFHaikpiF6CijvRSGFHejPNHpQAUtJR3oAWq07732g8LU0r7Ez37Vo+EPD58Ra/FbS5FpEPOu3HaIHkZ9WPA+p9KaA7nwJpA0bw/Jq1wm271BAYwRykAPH/fR5+mK2FDOfMbl3PA/z/nirGozm6ugiDZGuAFHRVA4A+grE8QaiNN0t2XiSXKJg9B0P9B+JPamhHK+KNU+3X5gicmCHhfQn1/Hr/wB81zsjHcF/E1MzMxLMcknJNVpjhyR16UhjY4Zb+9itovmd32r/AI12n206ZaRWVmwkCsI4cKMBz1YMDhuQT/hVDwto0jWbai4GZX8qFSPvL3P54HvV6Z3vLxJCHCDdHaCNMKzr959p4I6DOcfLTRLNCE28ISYZ+y2cbYLLyX75B/HP/Aq4u9upL68kuHJYseM9l7Vu+JbpIUXToCNv3pSGzk+h/EfofWuZJpMaAkfjSZpT0ptIYdKKKO1MApwptFAD6O1JS9qBBxS5pM8UcetPoIXjNKCRjnBHIIPIPqKbnjpRmlYpOx1mjeLGj2wam5Yfw3IHzD/eA6/Uc+tdA/irQrMiGO3ttQwMtMZ2jUH+6oxyB6+ua8zDEmnbj71kqME72O6WY15U1Tb2+8hNAoo71ocAUtFJ0oAQ0opaKBiUUtFMQlAFLRSGFApaKACiiopn2JjPJ6UwIppAzE54UV6/4X0r/hG/CirKm2/vsT3APVRj5I/wHJ+prhvAPh9da137RcpusNPAmnB6O2fkT8SM/QV6TdzteXTO/Y7m57n/ADiiwEKDapZjgt8zM3Ydc/zNedeItSbUNTcqSIY/lRc/l+PPPuTXVeKNUNlp5hjYedOMfRc/1x+Q968/c4BOcntnuaGwSGNMAxznA6mksbSTVtTjtYgx3n5iB0UdTUb8YReWfjrXY+F9EMWlfa95juLk5Q4yBGDj9T3FCBmhdyLb2vkWTPFGXSOIP/DkhSAOoPfPTnvQ1zFbQNeyKUitozDCnXaRxwe49Pw9aiv0mubq1tvK3OWYpIxAIAXBIYduc+vSsjxLerJOtjCSIofvYPDHqP8AP0pslGJPK9xO80n33O4/4VEc+lBPpRmpKEBopaQ8UAHWlxSDrml70B1E9qO9OHNKBRcdhVjJGaaykHFTxsAvFIRk1N2IgI4pRUhjphUg1aYrCY4ptOHXFJjmgEJnmnZNNIINOBoBkdAope1IBKWjHHSigYhJzR3FL+NJ+dMQ7qKTpS59qTJoAKMUfjSdTQCHCjigUvU0DEqo26aXCKXYnaqDksewFSzvj5Rxmuw+G2hi51J9buY822nkCIN/HORxj129fxFNaagdppWlr4Y8N2+mDH2lv3t04/imI5H0UYH4UOUghZ5CQigu+OuP8e31NTSym4naVjkA9a5XxfqhhgWwiOGk+ZznkDsPy5+pHpQtBbnL6tqEmo38s7NkbiF9APb24A+gFZLud+SPlHWpmO0YGPQVWmcKNoPFIofY2632pRQyuyQE5ldRkog6kD1rvDdS2tzbJpyg2sxINvNLlUUDgqeTH0xjOOpIGKh8OabDpejJcTld826Sc5BCAA4X2OASfwqlYmTV2E0KvC8jkvI7ZAjBGO3OACMf71USad1qENvp51RVczSqYo1f+Bc9Prnrj19q4osWYsxySck+prX8RagLy+MMTf6PAdqD37/j/UmsapGGaSikxQIXrxQaSg9aQxRRg/jSCnE8UC6iinjmo80qNSLTLCKMVJtFRoQec1Jms2DYlNKZFPNGcVUSbkGzmkIweOtStxULnBFUNMawyaNooJpQQR0oHoRdqTJ9aKM1RAY5pTzRSGgBaTpS0hpgLiiiikAUUUtAIO9BIAzS1BcOMBAfrQkMSGCe/vYra3QyTzyCONR3Y9K9qS1g0XRrXR7Nw8cC4Mi/8tXPLv8Aielcd8PvDwktLnXbklFbNva8cn/no4/DK592rrsh3abG0DhB6D/P86fURFc3MdhZtLKV2RjOM43N2H44/IGvML29e/u5biVizOc5PpXS+MdSy66dG2QvMuPX0/Dp/wB9VyEhBAUdTSY0Qs+HLdvSrehWC3moieeN5LaEhnVTjJ7DJ4rPmLM6xqCSxxtHc9q9A0pLTRtGii3B51JeZBwzuRgKM9R0A7c1QmU79RNqC7/KVDh7navHTKhhwH6Z6dMetS3NwNJ0VXjjENxOoSNAchAOw9up98e9WP7PSS7iikKrtXzrhl6biQcL6DgAfQetc1rWonUNRdwNsSfIig5Axx/QfkKTBGbgbff3pO1L9KQ0hhSHO08E+1FLmgQ1QQBuGCOCKU0tBNIYlKOlIaXFAhetA6mgD1p2PypFJDlODxUwbiq461MDUsGOJz0pw5FMFSCnEQhXNQyLxVg1DN0qgZXIwaB0pCcik57UxCUuOKQkdKXFAARmkooPSgQtFAoxQMKKKOc0AFLjvSU7tQMQsFyx6Cl0jTJ9d1m2063H725fbux9xerMfYDJqvM2W2D1r074faOuk6FNrlwuLi/Upb56pADy3/Aj+gHrT2QHRXYt7WC30ywXba28YijH+yO59yeTWbqV6mnafLOW2lVwn+92/wAasxksXlYfO3Qen+elcP4t1I3OoGyQ/u7c4PP3m7n8/wCQo2Fuc/NK9xM8shJZjk5PP0qpI+1y3oMVOSKq7JLq5jt4VLSSNtUDnJPSkhmv4ZslmvTeyquyIkJ5gJXf6n1AroJ4z/aMEpnkeKGT5mjJCmQgY2emNy+vJx2q4sMOl6Xa2MSZlQtGgb+OY9Tkds/oKjisY4rw5ld4LRNz7jjc555/mfqfSqJKmtXj2GmCAyK13cgGVgP4fUf59K5Pp9KuanfvqV/LdMzEMflz/d/zzVInmpKEpKX1pORQAUUYoPWgQetFHQ0UABpR1popwOPyoBgDzUn8NMyM0/ORSZcWKtPwaYgzUwBxUsGgHSk3YNO7VEQd1EWS0TqciopjxT16VHIM1QrFfHNIevSnYpuKYFZRKxDgFhnqBU3mocc4ye9QWzssmUYqSO1SF0Z8SA8Gn1AnFJSK4Z0jjy2Tjk/hT8FSQRgjrmkK40CjvSrjpQRigoTpSiijFABSOwRCTSiq1w4zjPA60IDT8L6G/iTxBb2G4rASZLmT+5EvLH6noPc17BqEqSyrbwIEgjAVEHREA+UfgKxvBmj/APCO+FvtM6Yv9SAkcHqkP8CfU9T9fatBcnLEjc3UmnuxGfrOqJpWnvMGxMRthUdQfX8P5kV5o7l3ZmOWJyT71seJNS/tHUmCH9xD8qe/v+pP4+1YpOKQ0QXEvlgYIDH1roPCdgsR/tK4jlwxMcBUEc92B9ao6PfyC9eyi0+1vZLlTFAJ1z5UhBHmdOQASSDxwD2r0e1sorWxhtLYiSOGMRqGUAtjqcd8nmmJmFe8XtsoCzRklmEg+bdjYAwP+9yP9k8VQ8RXX2Szi0xGLORmYk8j/PT86vvHFaXtzqDqwhgULGTzlv4iM+h/lXHXVxJdXEk8hJdznnsOw/KhgkQse1Jig0lIYUHrRRQIOgpKDzSUAKaBQaOKAQe1J2oORijvQACnA0lLSGiVe2KsIMiq6dKsR9KiRb2FK803HNS44phxSiyRvamvT8U0itSSsSMmkNPdfmxUZB9aBEMNpJJG0iKQgH3h/hUKoScA5P0rb08rArq0gbGSFUZPoBntUQsFkkKkmMsc8cY74waOYTZk7njkGMgitcapbX9uBfIwmQHbIhxxVpNDmvos26xqw/hIxnA4x9awZINmTwcdeen1pJxkF0zWGmXDoskOJUYZyDgj6ioZ7Oe2bbPEyA9Ceh+hqmkl1bMrh3T8cVfiNxdSA3DXUy84ULux6cen0o1KuVjwnriq3nnd/SrrGHynJlCOufkdWBP04xVERlmDEYB71SGTO4WLfW14G8Prr/iBftKk2FoBcXWejAH5U/4Ef0BrnpWLEKBkAY4HU17PoelDwv4WismUC9uCJ7o/9NCPlT6KP1z60MRdv7hry8ctwM5OB09vw6VzfiXUvsOnFI3Amm4AH93v+BPH0BrYLLHGzOcAAsx9AOa831rUW1LUnlPCIdqLnoP88fn60tgRnEk5JJJPOT3qCaTadoHOOtT1Z020s9ali05LSeO+eTP2tJ/3YiGS7MhHUDGCDjpxQhm74H0kxwPq0q/PMDFb/wC50dvxPyj6GuvSCW+uoLK3O2SZtqt/cA5Z/wAAM/gB3qJVjtokihQJAqrFEg/gUDA/z6mtG3uo9A8O3mvXCnfcL5duAcHy84BHuzYP0C0EnHeO7y3N1bWNtCkHlQp50SNnawGArep4Bz9K4w9anuZ5bm4kuJ3LzSuXdj3JqA/SgoSm9D1paTFABS0ntRQIOlHejtQKBBRRRQMTnpRjGaXvij1oBhS+lFLQCJE7VMhwarbsCpFYmpaLvdFkuKjJ5pCeKaOtSkZkoOaXGajBpwNaARSjmoiOanlHFRUgNSHT7dVMccoEhOMPjcueeh5rSNqvk7cKXIwMjOD34rjzczSz+cf9ZyS461py6vN9mtjDuSReGbdwSP8APek4sSjoaqNf2ErrH/q3+WUuS3/Asdu2KzrxApcFV4AwEUfNjufcVLJq25YXkmckLl4lThz65rXt7eyvrdJERdxTlChy351nqtWiLO5jW8iyvIvllMruZAAASe+T/nmtS3tJgrrLMQj4wq8bRjpV7StE3X8jlmRmPVhkD6e9bNxZ2lgpcjLDIBc/MT7f/WxTeo+W5yLWJmuBbpCzYbAMhA4HPfk/jWFJbyQXMoGQsB++MY64z6cmtxdRd9Yka1/1adCSQN3Qk+9Y9w99MJVMZZJJA52925C/zNax0LskbfgfTbeXUJtavwDZaZiX5j/rZ+qIM9T/ABflXWaj4p00TpK87TK5wRENxB65P48fhUWo6TZWHhGy02EgtAwmkkP8UjgF24z6gD8K4Ccp50qqpj2vhVz0A4wfU1S11GzU17xPczySRwSlLd1wqqME55y3uPT1FYEDZU5PSoZTvkJI5HHSrUaDyt69O59KTGiCeXAKjr/Ku58GaQbPT/trrie8AK542xZ4/wC+j830ArntK0nTdcv7eK3+2pjMl7HLtZFQY+445JY8YI4z3xmvRZXVUZiFRcZOOAqj+gxj8KBMWO1/tK7jtA2I2+aZhxtiBG4/U5wPr7VzfxB15dS1UWNsyfZLTgBOm7A4/Afz9q6rUbkeGvB815KJI9Q1Hb5a7RlR1jUg/ix+p9K8ldmZmdiWYklmPcnqaQJDCc0wmnHim0DEoxRR0GaBCUUdaDQAHpSUtFAhM0vSikoAWg9aKTODQMWlFJ1ooBC9qkTpUYzUi0mUiUdKQjmlFHWoEAzThTScGgGtFsSK/wB2oM1Ox+WoDQBcu7KNYreOIRouzOVG5pD36e9UjYzq7AxFcdC/y8Ct+2t0jvJElKqy8IzHBHHGMnA9SKp3Ns128zLcuYwfvEbQxOB+ArKMtbEJu9jC8w4GM/nXTeFtTWG4FrNIFR+VkPY44FZkNgsE7RyEMrYGSuT9Pzpbmxex1DdJA0abwyqnDY65AP8AWtOZN2NEegT6kdG0+a9SISzf8s43zjPQE49Ov4VhXV6dXuGlEnmXMqDenO6NtuTgenOeKoWuvSX0yCeJ5SpbYMEjH4e1V7y7S1ukMEAik3eYSsnK+vSs3vYlvWxswKkaqscAiPCszLjGeu3sfrT7W1IuEmdI3TJCc9z3788VoCafU7WCFCr/AGjIJYbkVB1JH07epx0qfUnhhjhsLeJFjgG1AqgH36dTnj86FBsbRVa5k84uo85QQQknOcd/rXM6q8k2py3LKgKbR93GSD1+o71tTu8S7ohvYHA4yM+v0HJ/Csp0N0gkkAZWXIBHzZxVvQT0Mj7J5zGRnIMjEggcBie9WL+1sbfS45I5CbjOx9uQGxySe2MVOLJ0l3qxCEAqoOee+fStSx0Q3esW3nANaWyiaVA5IY5+VCCBjJGfoDQnqCbNXwzpI0vR18wMlxckTTdiox8i/gOT7mug0qz/ALS1PZcD/RLYCa5PYqPuJ/wIjkeit61BPL5cbs2SfvMe59h7k/0qzq7XOheGp7CIY1G5IlnI5wzKBtz/ALI4HuPeqbGcR4315td16RwR5MBMaBTkEg8n+n4VzJqVo9oxtZfQMMHH0qE0ihp9aaRSnikNMBMCjpQaKBBnvSd6OlLQAlFL9aTg0CE7UdqXNB4HSgBBzSil6UmKBiU7vSelAIzQCJNtOUVHu5p6Mf8AJpFXRKtPwAKiDYpN5bvUWZNx7U0cUo6d6XHHSrWwCE8VCevQ1P2qE9elMRuzCRkhiJKqWy8TAYHr15/xpI5XhfyXhVYGYAgn5Tjv9R/Sq51kRhXnheVics+epwcfn+lS2lzLcpLK4X5zhQyAsqAY68Akf1rCztqRrYvLd6dZyE2qXMkrfL90ZKn+IHnH86zLnVpZQ8xLSSkDczEgdMYP+HtVKSZbYhYtrHBBlGfmz2wDjA7elQS3C/ZyhHJPXufWqjBLUaLEExhltogxKDlivXLD/Crcdv8AaJHM6hSG3ZznArCj5YKclc9K77RbHzZYoQFMaICWxggdh9aqStsNo1dMiOnaSJmbbNMo28fcXtx7Dn64rOkcs7SHOTwoPp2q9qV0sziND8ijAPt/9f8AoKzZGJJ2jOOFAHNaLRFIFmVVYOm9Cdg6YJ759u1NiiSeBiYdo7MSQOvp9KvxR+RGoXoB1PPNVZrgmU7PTgEcVhKV2NxXUqG2SB/MKnaAMY6j8K6CJItH04yXZ2tkPMR1LngKM+nCj8TVXSrdp7s3MqjZAcpno0nb8AOfritiQRdJYkk2gkbxnYxBG7B4yAeM9z7VpBdSbJbDbC5iTU4bmaFnhtiJWjPBMn8AwfQkHHrto/tdbzUrqK4VVm3/ADANuB4GMHp0x04qC9VIrQRZVJcFsY7n+XH+eBWP9mWE+cgO7HG0/wA/alKRSRF4n0mRYhPahiGIDAcceh+nUenNcnPAY3I3ZxwTjvXo+n3QvbcxS434Oc/xD1/xrmte0tbeWRk5IG5lA/hJ+97nOQfzoTGcnIdq/Wq3mtn6VYuo2RhxiqrE98VohFiNt65HNO7ZxVRHMYO05qaGTfwSSaGhXJc0dO9HQ0fSkAhIzR+FH4Uc0CE5+lLkmgUhyDmgBe9Jige9HfNAw4FLSUvSgQCnA4PFNzmnAUikOB60g+9TlXNKVwaVwsPVhinbhioqfFGXOKashWuBaoyee9aH2I7c1Tkj2uRS5k9huNupYaAOqRNLCuwbtnYnvk/yq0kxypEW3GAMdvpVW3tkkuJNxYsBu3Z5zjNGrFooUZHZd5wQOhBGand2Md2RLaLJNPgKw+8OcD8/xqvc2NwriMISqJuyOcD3rRlVUsIAihRu5x3x0q6YlcHcOZB8xHHbNO9irmLplvIbhS6lRwcnivR4YRpmlbW4mlyz+3r/AEH41zFhbxPe/MuduFH+Nb16NojiBOwAKB7ADH8zVR1ZSKjlmBcgAvRAm6UEDJGMA/p/jQBvlVW6EgfhmrVud0EZ6ZGTilN2RaG3EqKvlqCT7HjHr+eaporyyLGibpGYKq9NxPQU+4OZinAG7t+FXtIiT7XLJgFo48pnsWbaT9cZH41jFXZF7s14YktrdY48FYxjcBjcx6t+J/QUiAbtx+6g3t/T/GnOMui/w5HH1/8A1VV1JzFpe5ertls966HohlG5m+0TSOc5z8ueOKqsfm4Iz39qktwGYhhkKCRk570k/wAkg2gDNc7ZRHFK0TbuhU8EetaGoAX9ot1Ch8yMfc9R0K/j/hWfNgRggDnj9KsaPK32iWEnKYzVIV9TiNbhjhucRj5WUMoB+6D2xWRJHIo3NGwBOMkV2dxBG2vXEBUeWEVgMdMnP8yaZeW0RlEWwbG6gCrU7EOdnY4wYIpYnKyD61palZQQWnnIpDnb345zWURjP1rVO5SNDtQRTNxCU8HOKkbGnpR0o7mjrQIKQk0UooEJ1pTxR3oNAxKOpopaBAPWng0yndhSLRIpwacWzUfakyaViWx+akhfY2agpwNUhM0mvPlxVCSQs5NJmomJzVOy2Eon/9k=', type='image_url')], role='user')]"
]
},
"execution_count": 9,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"_template_inference_message(train_df[\"img_b64\"].iloc[0])"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "9B0oW5zE5os9",
"outputId": "cf7fceea-b412-41ad-bec0-9b1088f7751b"
},
"outputs": [
{
"data": {
"text/plain": [
"[SystemMessage(content=\"Classify the following image into the category it belongs to.\\n- These category labels are School; Farmland; Airport; BaseballField; Resort; Viaduct; Forest; Beach; Parking; MediumResidential; Pond; Park; Port; Meadow; BareLand; Playground; SparseResidential; Desert; DenseResidential; Bridge; Square; River; StorageTanks; Commercial; Center; Stadium; Industrial; RailwayStation; Mountain; Church.\\n- Output your result using exclusively the following schema: {'image_description': FieldInfo(annotation=str, required=True), 'label': FieldInfo(annotation=str, required=True)}\\n- Put your results between a json tag\\n ```json\\n ```\", role='system'),\n",
" 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', type='image_url')], role='user'),\n",
" AssistantMessage(content='```json\\n {\\n \"image_description\": \"An aerial view of a bridge\",\\n \"label\": \"Bridge\"\\n }\\n ```', tool_calls=Unset(), prefix=False, role='assistant')]"
]
},
"execution_count": 10,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"_template_finetuning_message(train_df[\"img_b64\"].iloc[0], train_df[\"label\"].iloc[0])"
]
},
{
"cell_type": "code",
"execution_count": 13,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "GoyZTVb46vI9",
"outputId": "cb39bcf5-66ec-4e04-ce07-525bfb2b6757"
},
"outputs": [
{
"data": {
"text/plain": [
"{'custom_id': '0',\n",
" 'body': {'messages': [{'content': \"Classify the following image into the category it belongs to.\\n- These category labels are School; Farmland; Airport; BaseballField; Resort; Viaduct; Forest; Beach; Parking; MediumResidential; Pond; Park; Port; Meadow; BareLand; Playground; SparseResidential; Desert; DenseResidential; Bridge; Square; River; StorageTanks; Commercial; Center; Stadium; Industrial; RailwayStation; Mountain; Church.\\n- Output your result using exclusively the following schema: {'image_description': FieldInfo(annotation=str, required=True), 'label': FieldInfo(annotation=str, required=True)}\\n- Put your results between a json tag\\n ```json\\n ```\",\n",
" 'role': 'system'},\n",
" {'content': [{'image_url': 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',\n",
" 'type': 'image_url'}],\n",
" 'role': 'user'}]}}"
]
},
"execution_count": 13,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~\n",
"# We will use the Batch API for inference on the test dataset,\n",
"# and thus apply the proper formatting\n",
"# ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~\n",
"\n",
"inference_data = []\n",
"for row_id, row in test_df.iterrows():\n",
" messages = _template_inference_message(img_b64=row[\"img_b64\"])\n",
" inference_data.append(\n",
" {\n",
" \"custom_id\": str(row_id),\n",
" \"body\": {\n",
" \"messages\": [m.model_dump() for m in messages]\n",
" }\n",
" }\n",
" )\n",
"\n",
"inference_data[0]"
]
},
{
"cell_type": "code",
"execution_count": 14,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "WDargPWV7iIK",
"outputId": "18fa5720-d390-4fc4-c1c9-ad2d518a8b2d"
},
"outputs": [
{
"data": {
"text/plain": [
"[{'content': \"Classify the following image into the category it belongs to.\\n- These category labels are School; Farmland; Airport; BaseballField; Resort; Viaduct; Forest; Beach; Parking; MediumResidential; Pond; Park; Port; Meadow; BareLand; Playground; SparseResidential; Desert; DenseResidential; Bridge; Square; River; StorageTanks; Commercial; Center; Stadium; Industrial; RailwayStation; Mountain; Church.\\n- Output your result using exclusively the following schema: {'image_description': FieldInfo(annotation=str, required=True), 'label': FieldInfo(annotation=str, required=True)}\\n- Put your results between a json tag\\n ```json\\n ```\",\n",
" 'role': 'system'},\n",
" {'content': [{'image_url': 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',\n",
" 'type': 'image_url'}],\n",
" 'role': 'user'},\n",
" {'content': '```json\\n {\\n \"image_description\": \"An aerial view of a bridge\",\\n \"label\": \"Bridge\"\\n }\\n ```',\n",
" 'prefix': False,\n",
" 'role': 'assistant'}]"
]
},
"execution_count": 14,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~\n",
"# We will finetune Pixtral on the train dataset\n",
"# ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~\n",
"finetuning_data = []\n",
"for row_id, row in train_df.iterrows():\n",
" messages = _template_finetuning_message(img_b64=row[\"img_b64\"], label=row[\"label\"])\n",
" finetuning_data.append([m.model_dump() for m in messages])\n",
"\n",
"finetuning_data[0]"
]
},
{
"cell_type": "code",
"execution_count": 15,
"metadata": {
"id": "b1D9eH0F6I1p"
},
"outputs": [],
"source": [
"# ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~\n",
"# Small util function to convert a dictionnary / JSON into a\n",
"# jsonl file for upload to LaPlateforme\n",
"# ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~\n",
"import json\n",
"\n",
"def dict_to_jsonl(objects: list[dict], path: Path | str) -> None:\n",
" with open(path, 'w') as f:\n",
" for obj in objects:\n",
" f.write(json.dumps(obj) + '\\n')"
]
},
{
"cell_type": "code",
"execution_count": 16,
"metadata": {
"id": "5PZXc5pR8H2C"
},
"outputs": [],
"source": [
"dict_to_jsonl(inference_data, path=(Path() / \"test_satellite_for_batch_inference.jsonl\"))\n",
"dict_to_jsonl(finetuning_data, path=(Path() / \"train_satellite_for_finetuning.jsonl\"))"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "SbqVV3qrpTzo"
},
"source": [
"# Classify satellite images using Pixtral-12B"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "gBkpDpr0pZpC"
},
"source": [
"## Get a baseline using the off-the-shelf Pixtral-12B\n",
"We will use the \"base\" Pixtral-12B (no fine-tuning) to get a baseline on this classification task."
]
},
{
"cell_type": "code",
"execution_count": 17,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "yglwP74mph0_",
"outputId": "f8a2be15-8760-4156-cb12-e413185c24cb"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Type your API Key··········\n"
]
}
],
"source": [
"from getpass import getpass\n",
"from mistralai import Mistral\n",
"\n",
"api_key= getpass(\"Type your API Key\")\n",
"client = Mistral(api_key=api_key)\n",
"pixtral = \"pixtral-12b-2409\""
]
},
{
"cell_type": "code",
"execution_count": 18,
"metadata": {
"id": "A6R2iVep2SzW"
},
"outputs": [],
"source": [
"# ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~\n",
"# Helper function to extract & parse JSON content from the\n",
"# model response (it mimics the logic of structured output mode\n",
"# which unfortunately is not supported on Pixtral-12B)\n",
"# ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~\n",
"\n",
"import re\n",
"import json\n",
"\n",
"def parse_content(content: str) -> ClassifierOutput | None:\n",
" match = re.search(r'```json\\s*(.*?)\\s*```', content, re.DOTALL)\n",
" if not match:\n",
" return None\n",
"\n",
" json_str = match.group(1).strip()\n",
" try:\n",
" return ClassifierOutput(**json.loads(json_str))\n",
" except:\n",
" return None"
]
},
{
"cell_type": "code",
"execution_count": 19,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 386
},
"id": "Ra4WwcqN4Xlw",
"outputId": "9958fd5a-11de-4711-8bcb-65238373ffbc"
},
"outputs": [
{
"data": {
"text/html": [
"<h2>Bridge</h2><img 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\" />"
],
"text/plain": [
"<IPython.core.display.HTML object>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"image_description='An aerial view of a bridge spanning over a body of water with some structures nearby.' label='Bridge'\n"
]
}
],
"source": [
"# ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~\n",
"# We call the \"base\" Pixtral-12B on an example that works\n",
"# well (right label is retrieved)\n",
"# ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~\n",
"IDX = 0\n",
"user_message = _template_inference_message(train_df[\"img_b64\"].iloc[IDX])\n",
"\n",
"results = client.chat.complete(\n",
" model=pixtral,\n",
" messages=user_message,\n",
" temperature=0\n",
")\n",
"results = parse_content(results.choices[0].message.content)\n",
"\n",
"display_image(train_df, idx=IDX)\n",
"print(results)"
]
},
{
"cell_type": "code",
"execution_count": 20,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 386
},
"id": "DAMVjJed1k-h",
"outputId": "0828719a-3aaf-4530-b8da-689bdf1faa9e"
},
"outputs": [
{
"data": {
"text/html": [
"<h2>Center</h2><img 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/>"
],
"text/plain": [
"<IPython.core.display.HTML object>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"image_description='An aerial view of a large building with a distinctive triangular roof and multiple parking areas.' label='Commercial'\n"
]
}
],
"source": [
"# ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~\n",
"# We call the \"base\" Pixtral-12B on an example that does not work\n",
"# well (wrong label is retrieved)\n",
"# ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~\n",
"IDX = 4\n",
"user_message = _template_inference_message(train_df[\"img_b64\"].iloc[IDX])\n",
"\n",
"results = client.chat.complete(\n",
" model=pixtral,\n",
" messages=user_message,\n",
" temperature=0\n",
")\n",
"results = parse_content(results.choices[0].message.content)\n",
"\n",
"display_image(train_df, idx=IDX)\n",
"print(results)\n"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "eLeteZ2wdfDf"
},
"source": [
"Since we have many images to caption, we will use Mistral batch API (and might have to wait a little bit)"
]
},
{
"cell_type": "code",
"execution_count": 21,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "HxbqO_iALFid",
"outputId": "ab18f503-7166-4c34-88b3-a0dbd6ae7a99"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"file ID: 4b34bbd3-443a-4d46-82e3-356c5f942063\n",
"job ID: d0b1cb9c-fcfb-4904-b813-b01d2376a752\n"
]
}
],
"source": [
"# ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~\n",
"# Launch a batch inference job\n",
"# ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~\n",
"# NOTE: This can also be done via LaPlateforme UI by drag-and-drop of\n",
"# the input files\n",
"# NOTE: There might be some size limitation, both in terms of number\n",
"# of records and memory footprint of the model\n",
"\n",
"# Upload the dataset\n",
"with open(Path() / \"test_satellite_for_batch_inference.jsonl\", \"rb\") as f:\n",
" batch_inference_data = client.files.upload(\n",
" file={\n",
" \"file_name\": \"test_satellite_for_batch_inference.jsonl\",\n",
" \"content\": f\n",
" },\n",
" purpose=\"batch\"\n",
" )\n",
"\n",
"# Launch the job\n",
"created_job = client.batch.jobs.create(\n",
" input_files=[batch_inference_data.id],\n",
" model=pixtral,\n",
" endpoint=\"/v1/chat/completions\",\n",
" metadata={\"job_type\": \"testing\"}\n",
")\n",
"\n",
"print(\"file ID:\", batch_inference_data.id)\n",
"print(\"job ID:\", created_job.id)"
]
},
{
"cell_type": "code",
"execution_count": 22,
"metadata": {
"id": "u9j70IaD8-4y"
},
"outputs": [],
"source": [
"# ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~\n",
"# Util decorator to timeout operations (in case the batch API takes\n",
"# longer than expected)\n",
"# ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~\n",
"\n",
"import signal\n",
"from contextlib import contextmanager\n",
"\n",
"class TimeoutException(Exception):\n",
" pass\n",
"\n",
"@contextmanager\n",
"def timeout(seconds: int, error_message=\"Operation timed out\"):\n",
" def _handle_timeout(signum, frame):\n",
" raise TimeoutException(error_message)\n",
"\n",
" # Set the signal handler and an alarm\n",
" signal.signal(signal.SIGALRM, _handle_timeout)\n",
" signal.alarm(seconds)\n",
"\n",
" try:\n",
" yield\n",
" finally:\n",
" # Cancel the alarm regardless of success or failure\n",
" signal.alarm(0)"
]
},
{
"cell_type": "code",
"execution_count": 23,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 224
},
"id": "Y3jPYDofU16v",
"outputId": "92211dbd-2732-48d7-f5a9-6b575df17980"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Job finished with status SUCCESS\n"
]
},
{
"data": {
"application/vnd.google.colaboratory.intrinsic+json": {
"summary": "{\n \"name\": \"results_df\",\n \"rows\": 2000,\n \"fields\": [\n {\n \"column\": \"id\",\n \"properties\": {\n \"dtype\": \"string\",\n \"num_unique_values\": 2000,\n \"samples\": [\n \"batch-d0b1cb9c-1861-0854323f-b7f9-4dfd-9039-210f57ae9685\",\n \"batch-d0b1cb9c-754-f4f44031-5747-4352-83c6-d8c048b8e861\",\n \"batch-d0b1cb9c-834-92426d4d-3f2b-4066-a956-a1680f5919ca\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"custom_id\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 577,\n \"min\": 0,\n \"max\": 1999,\n \"num_unique_values\": 2000,\n \"samples\": [\n 1860,\n 753,\n 833\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"response\",\n \"properties\": {\n \"dtype\": \"object\",\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"error\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": null,\n \"min\": null,\n \"max\": null,\n \"num_unique_values\": 0,\n \"samples\": [],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n }\n ]\n}",
"type": "dataframe",
"variable_name": "results_df"
},
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" <th>custom_id</th>\n",
" <th>response</th>\n",
" <th>error</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
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" <td>{'status_code': 200, 'body': {'id': '139ef1e50...</td>\n",
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" <td>batch-d0b1cb9c-603-214e41ee-2454-4435-ae16-0b9...</td>\n",
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" <td>batch-d0b1cb9c-605-1e5a2901-034b-4530-9879-6ba...</td>\n",
" <td>604</td>\n",
" <td>{'status_code': 200, 'body': {'id': '9d5f9abbb...</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>\n",
" <div class=\"colab-df-buttons\">\n",
"\n",
" <div class=\"colab-df-container\">\n",
" <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-c43f766d-0ca1-44b6-821b-d1fc488e4f6b')\"\n",
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"\n",
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" </svg>\n",
" </button>\n",
"\n",
" <style>\n",
" .colab-df-container {\n",
" display:flex;\n",
" gap: 12px;\n",
" }\n",
"\n",
" .colab-df-convert {\n",
" background-color: #E8F0FE;\n",
" border: none;\n",
" border-radius: 50%;\n",
" cursor: pointer;\n",
" display: none;\n",
" fill: #1967D2;\n",
" height: 32px;\n",
" padding: 0 0 0 0;\n",
" width: 32px;\n",
" }\n",
"\n",
" .colab-df-convert:hover {\n",
" background-color: #E2EBFA;\n",
" box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
" fill: #174EA6;\n",
" }\n",
"\n",
" .colab-df-buttons div {\n",
" margin-bottom: 4px;\n",
" }\n",
"\n",
" [theme=dark] .colab-df-convert {\n",
" background-color: #3B4455;\n",
" fill: #D2E3FC;\n",
" }\n",
"\n",
" [theme=dark] .colab-df-convert:hover {\n",
" background-color: #434B5C;\n",
" box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
" filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
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" </style>\n",
"\n",
" <script>\n",
" const buttonEl =\n",
" document.querySelector('#df-c43f766d-0ca1-44b6-821b-d1fc488e4f6b button.colab-df-convert');\n",
" buttonEl.style.display =\n",
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"\n",
" async function convertToInteractive(key) {\n",
" const element = document.querySelector('#df-c43f766d-0ca1-44b6-821b-d1fc488e4f6b');\n",
" const dataTable =\n",
" await google.colab.kernel.invokeFunction('convertToInteractive',\n",
" [key], {});\n",
" if (!dataTable) return;\n",
"\n",
" const docLinkHtml = 'Like what you see? Visit the ' +\n",
" '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
" + ' to learn more about interactive tables.';\n",
" element.innerHTML = '';\n",
" dataTable['output_type'] = 'display_data';\n",
" await google.colab.output.renderOutput(dataTable, element);\n",
" const docLink = document.createElement('div');\n",
" docLink.innerHTML = docLinkHtml;\n",
" element.appendChild(docLink);\n",
" }\n",
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"\n",
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" title=\"Suggest charts\"\n",
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"<style>\n",
" .colab-df-quickchart {\n",
" --bg-color: #E8F0FE;\n",
" --fill-color: #1967D2;\n",
" --hover-bg-color: #E2EBFA;\n",
" --hover-fill-color: #174EA6;\n",
" --disabled-fill-color: #AAA;\n",
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"\n",
" [theme=dark] .colab-df-quickchart {\n",
" --bg-color: #3B4455;\n",
" --fill-color: #D2E3FC;\n",
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"\n",
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" border: none;\n",
" border-radius: 50%;\n",
" cursor: pointer;\n",
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"\n",
" .colab-df-quickchart:hover {\n",
" background-color: var(--hover-bg-color);\n",
" box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
" fill: var(--button-hover-fill-color);\n",
" }\n",
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" fill: var(--disabled-fill-color);\n",
" box-shadow: none;\n",
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"\n",
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" border: 2px solid var(--fill-color);\n",
" border-color: transparent;\n",
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" animation:\n",
" spin 1s steps(1) infinite;\n",
" }\n",
"\n",
" @keyframes spin {\n",
" 0% {\n",
" border-color: transparent;\n",
" border-bottom-color: var(--fill-color);\n",
" border-left-color: var(--fill-color);\n",
" }\n",
" 20% {\n",
" border-color: transparent;\n",
" border-left-color: var(--fill-color);\n",
" border-top-color: var(--fill-color);\n",
" }\n",
" 30% {\n",
" border-color: transparent;\n",
" border-left-color: var(--fill-color);\n",
" border-top-color: var(--fill-color);\n",
" border-right-color: var(--fill-color);\n",
" }\n",
" 40% {\n",
" border-color: transparent;\n",
" border-right-color: var(--fill-color);\n",
" border-top-color: var(--fill-color);\n",
" }\n",
" 60% {\n",
" border-color: transparent;\n",
" border-right-color: var(--fill-color);\n",
" }\n",
" 80% {\n",
" border-color: transparent;\n",
" border-right-color: var(--fill-color);\n",
" border-bottom-color: var(--fill-color);\n",
" }\n",
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" border-bottom-color: var(--fill-color);\n",
" }\n",
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"</style>\n",
"\n",
" <script>\n",
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" quickchartButtonEl.classList.add('colab-df-spinner');\n",
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" console.error('Error during call to suggestCharts:', error);\n",
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" quickchartButtonEl.classList.remove('colab-df-spinner');\n",
" quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
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" (() => {\n",
" let quickchartButtonEl =\n",
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],
"text/plain": [
" id custom_id \\\n",
"0 batch-d0b1cb9c-601-db24f35a-9e61-4809-88b6-4b0... 600 \n",
"1 batch-d0b1cb9c-602-9c19cf84-28d7-498d-b24a-939... 601 \n",
"2 batch-d0b1cb9c-603-214e41ee-2454-4435-ae16-0b9... 602 \n",
"3 batch-d0b1cb9c-604-f4698a10-9b09-45ba-a5fb-be3... 603 \n",
"4 batch-d0b1cb9c-605-1e5a2901-034b-4530-9879-6ba... 604 \n",
"\n",
" response error \n",
"0 {'status_code': 200, 'body': {'id': '139ef1e50... NaN \n",
"1 {'status_code': 200, 'body': {'id': '7095cc8cf... NaN \n",
"2 {'status_code': 200, 'body': {'id': 'e6a559581... NaN \n",
"3 {'status_code': 200, 'body': {'id': 'ea54b4fff... NaN \n",
"4 {'status_code': 200, 'body': {'id': '9d5f9abbb... NaN "
]
},
"execution_count": 23,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~\n",
"# Retrieve job results (with a timeout of 1h)\n",
"# ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~\n",
"import time\n",
"\n",
"with timeout(3600):\n",
" while True:\n",
" retrieved_job = client.batch.jobs.get(job_id=created_job.id)\n",
" if retrieved_job.status not in [\"RUNNING\", \"QUEUED\"]:\n",
" print(f\"Job finished with status {retrieved_job.status}\")\n",
" break\n",
"\n",
" time.sleep(30) # Pause for 30s\n",
"\n",
"\n",
"if not retrieved_job.status == \"SUCCESS\":\n",
" raise RuntimeError(\"Batch job failed\")\n",
"\n",
"output_file_stream = client.files.download(file_id=retrieved_job.output_file)\n",
"results_df = pd.read_json(path_or_buf=output_file_stream, lines=True)\n",
"results_df.head()"
]
},
{
"cell_type": "code",
"execution_count": 24,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 206
},
"id": "RgZ-G9L0fwd1",
"outputId": "878aa7a3-b574-4e38-d68f-675f4d17c4fb"
},
"outputs": [
{
"data": {
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"summary": "{\n \"name\": \"parsed_results_df\",\n \"rows\": 2000,\n \"fields\": [\n {\n \"column\": \"custom_id\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 577,\n \"min\": 0,\n \"max\": 1999,\n \"num_unique_values\": 2000,\n \"samples\": [\n 1860,\n 353,\n 1333\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"predicted_pixtral-12b-2409\",\n \"properties\": {\n \"dtype\": \"category\",\n \"num_unique_values\": 54,\n \"samples\": [\n \"Roundabout\",\n \"RaceTrack\",\n \"Cemetery\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n }\n ]\n}",
"type": "dataframe",
"variable_name": "parsed_results_df"
},
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" border-right-color: var(--fill-color);\n",
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" border-color: transparent;\n",
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"\n",
" <script>\n",
" async function quickchart(key) {\n",
" const quickchartButtonEl =\n",
" document.querySelector('#' + key + ' button');\n",
" quickchartButtonEl.disabled = true; // To prevent multiple clicks.\n",
" quickchartButtonEl.classList.add('colab-df-spinner');\n",
" try {\n",
" const charts = await google.colab.kernel.invokeFunction(\n",
" 'suggestCharts', [key], {});\n",
" } catch (error) {\n",
" console.error('Error during call to suggestCharts:', error);\n",
" }\n",
" quickchartButtonEl.classList.remove('colab-df-spinner');\n",
" quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
" }\n",
" (() => {\n",
" let quickchartButtonEl =\n",
" document.querySelector('#df-963cde8d-9764-4194-a006-eb24417bda82 button');\n",
" quickchartButtonEl.style.display =\n",
" google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
" })();\n",
" </script>\n",
" </div>\n",
"\n",
" </div>\n",
" </div>\n"
],
"text/plain": [
" custom_id predicted_pixtral-12b-2409\n",
"0 0 Pond\n",
"1 1 River\n",
"2 2 Parking\n",
"3 3 Stadium\n",
"4 4 Port"
]
},
"execution_count": 24,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~\n",
"# Apply processing to the retrieved results\n",
"# ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~\n",
"parsed_results_df = results_df.copy()\n",
"parsed_results_df[f\"predicted_{pixtral}\"] = (\n",
" parsed_results_df[\"response\"]\n",
" .apply(lambda response: parse_content(response[\"body\"][\"choices\"][0][\"message\"][\"content\"]))\n",
" .apply(lambda x: x.label if x else None)\n",
")\n",
"\n",
"parsed_results_df = (\n",
" parsed_results_df.sort_values(\"custom_id\")\n",
" .reset_index(drop=True)\n",
" [[\"custom_id\", f\"predicted_{pixtral}\"]]\n",
")\n",
"\n",
"parsed_results_df.head()"
]
},
{
"cell_type": "code",
"execution_count": 25,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 206
},
"id": "J5vQgLVYaUap",
"outputId": "a7cae0f9-6e0d-490e-add6-35de990063d2"
},
"outputs": [
{
"data": {
"application/vnd.google.colaboratory.intrinsic+json": {
"summary": "{\n \"name\": \"comparison_df\",\n \"rows\": 2000,\n \"fields\": [\n {\n \"column\": \"label\",\n \"properties\": {\n \"dtype\": \"category\",\n \"num_unique_values\": 30,\n \"samples\": [\n \"Mountain\",\n \"SparseResidential\",\n \"MediumResidential\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"img_path\",\n \"properties\": {\n \"dtype\": \"string\",\n \"num_unique_values\": 2000,\n \"samples\": [\n \"satellite_dataset/AID/Bridge/bridge_42.jpg\",\n \"satellite_dataset/AID/Square/square_105.jpg\",\n \"satellite_dataset/AID/Resort/resort_172.jpg\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"img_b64\",\n \"properties\": {\n \"dtype\": \"string\",\n \"num_unique_values\": 2000,\n \"samples\": [\n 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\",\n 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\",\n 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" box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
" filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
" fill: #FFFFFF;\n",
" }\n",
" </style>\n",
"\n",
" <script>\n",
" const buttonEl =\n",
" document.querySelector('#df-ae160687-6bbf-4d33-b2c9-365c270cd031 button.colab-df-convert');\n",
" buttonEl.style.display =\n",
" google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
"\n",
" async function convertToInteractive(key) {\n",
" const element = document.querySelector('#df-ae160687-6bbf-4d33-b2c9-365c270cd031');\n",
" const dataTable =\n",
" await google.colab.kernel.invokeFunction('convertToInteractive',\n",
" [key], {});\n",
" if (!dataTable) return;\n",
"\n",
" const docLinkHtml = 'Like what you see? Visit the ' +\n",
" '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
" + ' to learn more about interactive tables.';\n",
" element.innerHTML = '';\n",
" dataTable['output_type'] = 'display_data';\n",
" await google.colab.output.renderOutput(dataTable, element);\n",
" const docLink = document.createElement('div');\n",
" docLink.innerHTML = docLinkHtml;\n",
" element.appendChild(docLink);\n",
" }\n",
" </script>\n",
" </div>\n",
"\n",
"\n",
" <div id=\"df-e133e42d-2439-42ed-83f8-54d46c0f7c42\">\n",
" <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-e133e42d-2439-42ed-83f8-54d46c0f7c42')\"\n",
" title=\"Suggest charts\"\n",
" style=\"display:none;\">\n",
"\n",
"<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
" width=\"24px\">\n",
" <g>\n",
" <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
" </g>\n",
"</svg>\n",
" </button>\n",
"\n",
"<style>\n",
" .colab-df-quickchart {\n",
" --bg-color: #E8F0FE;\n",
" --fill-color: #1967D2;\n",
" --hover-bg-color: #E2EBFA;\n",
" --hover-fill-color: #174EA6;\n",
" --disabled-fill-color: #AAA;\n",
" --disabled-bg-color: #DDD;\n",
" }\n",
"\n",
" [theme=dark] .colab-df-quickchart {\n",
" --bg-color: #3B4455;\n",
" --fill-color: #D2E3FC;\n",
" --hover-bg-color: #434B5C;\n",
" --hover-fill-color: #FFFFFF;\n",
" --disabled-bg-color: #3B4455;\n",
" --disabled-fill-color: #666;\n",
" }\n",
"\n",
" .colab-df-quickchart {\n",
" background-color: var(--bg-color);\n",
" border: none;\n",
" border-radius: 50%;\n",
" cursor: pointer;\n",
" display: none;\n",
" fill: var(--fill-color);\n",
" height: 32px;\n",
" padding: 0;\n",
" width: 32px;\n",
" }\n",
"\n",
" .colab-df-quickchart:hover {\n",
" background-color: var(--hover-bg-color);\n",
" box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
" fill: var(--button-hover-fill-color);\n",
" }\n",
"\n",
" .colab-df-quickchart-complete:disabled,\n",
" .colab-df-quickchart-complete:disabled:hover {\n",
" background-color: var(--disabled-bg-color);\n",
" fill: var(--disabled-fill-color);\n",
" box-shadow: none;\n",
" }\n",
"\n",
" .colab-df-spinner {\n",
" border: 2px solid var(--fill-color);\n",
" border-color: transparent;\n",
" border-bottom-color: var(--fill-color);\n",
" animation:\n",
" spin 1s steps(1) infinite;\n",
" }\n",
"\n",
" @keyframes spin {\n",
" 0% {\n",
" border-color: transparent;\n",
" border-bottom-color: var(--fill-color);\n",
" border-left-color: var(--fill-color);\n",
" }\n",
" 20% {\n",
" border-color: transparent;\n",
" border-left-color: var(--fill-color);\n",
" border-top-color: var(--fill-color);\n",
" }\n",
" 30% {\n",
" border-color: transparent;\n",
" border-left-color: var(--fill-color);\n",
" border-top-color: var(--fill-color);\n",
" border-right-color: var(--fill-color);\n",
" }\n",
" 40% {\n",
" border-color: transparent;\n",
" border-right-color: var(--fill-color);\n",
" border-top-color: var(--fill-color);\n",
" }\n",
" 60% {\n",
" border-color: transparent;\n",
" border-right-color: var(--fill-color);\n",
" }\n",
" 80% {\n",
" border-color: transparent;\n",
" border-right-color: var(--fill-color);\n",
" border-bottom-color: var(--fill-color);\n",
" }\n",
" 90% {\n",
" border-color: transparent;\n",
" border-bottom-color: var(--fill-color);\n",
" }\n",
" }\n",
"</style>\n",
"\n",
" <script>\n",
" async function quickchart(key) {\n",
" const quickchartButtonEl =\n",
" document.querySelector('#' + key + ' button');\n",
" quickchartButtonEl.disabled = true; // To prevent multiple clicks.\n",
" quickchartButtonEl.classList.add('colab-df-spinner');\n",
" try {\n",
" const charts = await google.colab.kernel.invokeFunction(\n",
" 'suggestCharts', [key], {});\n",
" } catch (error) {\n",
" console.error('Error during call to suggestCharts:', error);\n",
" }\n",
" quickchartButtonEl.classList.remove('colab-df-spinner');\n",
" quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
" }\n",
" (() => {\n",
" let quickchartButtonEl =\n",
" document.querySelector('#df-e133e42d-2439-42ed-83f8-54d46c0f7c42 button');\n",
" quickchartButtonEl.style.display =\n",
" google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
" })();\n",
" </script>\n",
" </div>\n",
"\n",
" </div>\n",
" </div>\n"
],
"text/plain": [
" label img_path \\\n",
"0 Pond satellite_dataset/AID/Pond/pond_161.jpg \n",
"1 River satellite_dataset/AID/River/river_384.jpg \n",
"2 StorageTanks satellite_dataset/AID/StorageTanks/storagetank... \n",
"3 Port satellite_dataset/AID/Port/port_296.jpg \n",
"4 Port satellite_dataset/AID/Port/port_257.jpg \n",
"\n",
" img_b64 custom_id \\\n",
"0 data:image/jpeg;base64,/9j/4AAQSkZJRgABAQAAAQA... 0 \n",
"1 data:image/jpeg;base64,/9j/4AAQSkZJRgABAQAAAQA... 1 \n",
"2 data:image/jpeg;base64,/9j/4AAQSkZJRgABAQAAAQA... 2 \n",
"3 data:image/jpeg;base64,/9j/4AAQSkZJRgABAQAAAQA... 3 \n",
"4 data:image/jpeg;base64,/9j/4AAQSkZJRgABAQAAAQA... 4 \n",
"\n",
" predicted_pixtral-12b-2409 \n",
"0 Pond \n",
"1 River \n",
"2 Parking \n",
"3 Stadium \n",
"4 Port "
]
},
"execution_count": 25,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~\n",
"# Let's compare against our \"ground_truth\"\n",
"# ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~\n",
"comparison_df = test_df.copy()\n",
"comparison_df[\"custom_id\"] = comparison_df.reset_index(drop=False)[\"index\"]\n",
"comparison_df = comparison_df.merge(parsed_results_df)\n",
"comparison_df.head()"
]
},
{
"cell_type": "code",
"execution_count": 48,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 1000
},
"id": "t6jpTxmY-Sb1",
"outputId": "2ffec34e-20df-4cb8-9b1b-dd9d79fda93c"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Confusion Matrix:\n"
]
},
{
"data": {
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",
"text/plain": [
"<Figure size 800x600 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Classification Report:\n",
" precision recall f1-score support\n",
"\n",
" School 0.83 0.69 0.76 72\n",
" Farmland 0.64 0.45 0.53 62\n",
" Airport 0.57 0.86 0.68 44\n",
" BaseballField 0.92 0.95 0.93 80\n",
" Resort 0.89 0.79 0.84 72\n",
" Viaduct 0.04 0.02 0.03 52\n",
" Forest 0.71 0.25 0.37 48\n",
" Beach 0.27 0.17 0.21 70\n",
" Parking 0.36 0.87 0.51 82\n",
"MediumResidential 0.75 0.78 0.76 60\n",
" Pond 0.55 0.88 0.68 74\n",
" Park 0.57 0.88 0.69 50\n",
" Port 0.46 0.67 0.55 78\n",
" Meadow 0.67 0.11 0.18 56\n",
" BareLand 0.35 0.10 0.16 58\n",
" Playground 0.94 0.75 0.84 68\n",
"SparseResidential 0.43 0.50 0.46 70\n",
" Desert 0.82 0.96 0.88 78\n",
" DenseResidential 0.67 0.05 0.10 74\n",
" Bridge 0.93 0.75 0.83 84\n",
" Square 0.94 0.86 0.90 76\n",
" River 0.93 0.25 0.39 52\n",
" StorageTanks 0.50 0.55 0.52 58\n",
" Commercial 0.76 0.59 0.66 82\n",
" Center 0.61 0.33 0.43 60\n",
" Stadium 0.21 0.35 0.27 60\n",
" Industrial 0.58 0.27 0.37 66\n",
" RailwayStation 0.30 0.95 0.46 58\n",
" Mountain 0.93 0.60 0.73 72\n",
" Church 1.00 0.02 0.05 84\n",
" WRONG 0.00 0.00 0.00 0\n",
"\n",
" accuracy 0.56 2000\n",
" macro avg 0.62 0.52 0.51 2000\n",
" weighted avg 0.65 0.56 0.54 2000\n",
"\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"/usr/local/lib/python3.11/dist-packages/sklearn/metrics/_classification.py:1565: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.\n",
" _warn_prf(average, modifier, f\"{metric.capitalize()} is\", len(result))\n",
"/usr/local/lib/python3.11/dist-packages/sklearn/metrics/_classification.py:1565: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.\n",
" _warn_prf(average, modifier, f\"{metric.capitalize()} is\", len(result))\n",
"/usr/local/lib/python3.11/dist-packages/sklearn/metrics/_classification.py:1565: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.\n",
" _warn_prf(average, modifier, f\"{metric.capitalize()} is\", len(result))\n"
]
}
],
"source": [
"# ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~\n",
"# Display traditional classification metrics\n",
"# ✅ Good baseline model: some classes are very well handled\n",
"# (e.g. Desert, Railway station, etc.)\n",
"# ❌ But there are limitations\n",
"# - some labels are \"hallucinated\" (i.e. not present in the system prompt)\n",
"# - some classes are not well handled (e.g. River vs. Bridge)\n",
"# ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~\n",
"\n",
"from sklearn.metrics import confusion_matrix, classification_report, accuracy_score, ConfusionMatrixDisplay\n",
"import matplotlib.pyplot as plt\n",
"import seaborn as sns\n",
"import numpy as np\n",
"\n",
"y_true = [*comparison_df[\"label\"]]\n",
"y_pred = [\n",
" # NOTE: Pixtral-12B might have hallucinated some categories\n",
" # We'll put them under the \"WRONG\" label\n",
" label if label in classes else \"WRONG\"\n",
" for label in comparison_df[f\"predicted_{pixtral}\"]\n",
"]\n",
"labels = [*classes, \"WRONG\"]\n",
"\n",
"# ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~\n",
"# Confusion matrix\n",
"# ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~\n",
"cm = confusion_matrix(y_true, y_pred, labels=labels)\n",
"print(\"Confusion Matrix:\")\n",
"\n",
"disp = ConfusionMatrixDisplay(confusion_matrix=cm, display_labels=labels)\n",
"fig, ax = plt.subplots(figsize=(8, 6))\n",
"disp.plot(ax=ax, cmap='Oranges', colorbar=False)\n",
"plt.title(f\"Confusion Matrix ({pixtral})\", fontsize=18, fontweight='bold')\n",
"plt.xticks(rotation=90)\n",
"plt.show()\n",
"\n",
"# ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~\n",
"# Classification report\n",
"# ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~\n",
"print(\"Classification Report:\")\n",
"print(classification_report(y_true, y_pred, target_names=labels))"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "1OKY_t-VA1Ky"
},
"source": [
"## Improve the results by finetuning a Pixtral-12B\n",
"*Note: Here the objective of the finetuning is to improve the classification accuracy of the VLM. Finetuning can also be helpful to align the tone of the assistant to a desired style*"
]
},
{
"cell_type": "code",
"execution_count": 38,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "hUN5wYJ7dl3r",
"outputId": "ae6ccdc2-e8d8-4c0d-d019-c64fc4ae8509"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"file ID: 3f97da57-b695-4493-8ca4-9a1d346d831c\n",
"job ID: 7ddb123c-a827-436a-bacf-882161a16970\n"
]
}
],
"source": [
"# ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~\n",
"# Launch a finetuning job\n",
"# ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~\n",
"# NOTE: This can also be done via LaPlateforme UI by drag-and-drop of\n",
"# the input files\n",
"# NOTE: There might be some size limitation, both in terms of number\n",
"# of records and memory footprint of the model\n",
"\n",
"# ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~\n",
"# Upload your training dataset\n",
"# ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~\n",
"\n",
"with open(Path() / \"train_satellite_for_finetuning.jsonl\", \"rb\") as f:\n",
" finetuning_data = client.files.upload(\n",
" file={\n",
" \"file_name\": \"train_satellite_for_finetuning.jsonl\",\n",
" \"content\": f\n",
" },\n",
" purpose=\"fine-tune\"\n",
" )\n",
"\n",
"# ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~\n",
"# Create the job\n",
"# ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~\n",
"#\n",
"# Fine-tuning is both an art and a science\n",
"#\n",
"# Our recommended approach for fine-tuning our models is to do so iteratively.\n",
"# Start with smaller dataset e.g 200-1000 examples (and potentially smaller\n",
"# models), larger learning rates, lower epochs and once you start to see the\n",
"# desired results in the correct direction start scaling these to be bigger\n",
"# and bigger.\n",
"#\n",
"# Once you are somewhat comfortable with the fine-tuning data used for the\n",
"# model, you want to start playing around with the different fine-tuning\n",
"# hyperparameters.\n",
"#\n",
"# Learning Rate - The learning rate defines how much the model adjusts for each\n",
"# training step. Bigger learning rates will make the model move faster so you\n",
"# potentially may need less training time, however it may also potentially\n",
"# overshoot and reach a local minima\n",
"#\n",
"# Epochs - This is the amount of full runs across the whole dataset the training\n",
"# will do. It’s somewhat proportional to the training time.\n",
"#\n",
"# Batch Size - This is the number of examples passed in each gradient step to\n",
"# updates the FT-weights. A higher batch size typically leads to smoother\n",
"# training, but with small datasets you typically use a smaller batch size.\n",
"#\n",
"# Here is an equation that summarize the relationship between the parameters:\n",
"# Epochs = Steps × Batch Size / Total Number of Training Samples\n",
"\n",
"created_job = client.fine_tuning.jobs.create(\n",
" model=\"pixtral-12b-latest\",\n",
" training_files=[{\"file_id\": finetuning_data.id, \"weight\": 1}],\n",
" validation_files=[],\n",
" hyperparameters={\n",
" \"epochs\": 2,\n",
" \"learning_rate\": 0.0001,\n",
" },\n",
" auto_start=True # This could be set to False to let you manually validate the run\n",
")\n",
"\n",
"\n",
"print(\"file ID:\", finetuning_data.id)\n",
"print(\"job ID:\", created_job.id)"
]
},
{
"cell_type": "code",
"execution_count": 39,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "vbgFRgZrd_Jw",
"outputId": "feeda60a-7f25-4fda-f254-ea8279fff9cd"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Job finished with status SUCCESS\n"
]
}
],
"source": [
"with timeout(3600):\n",
" while True:\n",
" retrieved_job = client.fine_tuning.jobs.get(job_id=created_job.id)\n",
" if retrieved_job.status not in [\"VALIDATING\", \"RUNNING\", \"QUEUED\"]:\n",
" print(f\"Job finished with status {retrieved_job.status}\")\n",
" break\n",
"\n",
" time.sleep(30) # Pause for 30s"
]
},
{
"cell_type": "code",
"execution_count": 40,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "dR7yz2OdDaRm",
"outputId": "48ac348f-b14a-403f-ce23-62b3edb84670"
},
"outputs": [
{
"data": {
"text/plain": [
"CompletionDetailedJobOut(id='7ddb123c-a827-436a-bacf-882161a16970', auto_start=True, model='pixtral-12b-latest', status='SUCCESS', created_at=1752043098, modified_at=1752043672, training_files=['3f97da57-b695-4493-8ca4-9a1d346d831c'], hyperparameters=CompletionTrainingParameters(training_steps=69, learning_rate=0.0001, weight_decay=0.1, warmup_fraction=0.05, epochs=2.0, seq_len=32768, fim_ratio=None), validation_files=[], object='job', fine_tuned_model='ft:pixtral-12b-latest:d3417809:20250709:7ddb123c', suffix=None, integrations=[], trained_tokens=9043968, metadata=JobMetadataOut(expected_duration_seconds=3864, cost=17.88, cost_currency='USD', train_tokens_per_step=129528, train_tokens=8937456, data_tokens=4468728, estimated_start_time=None), job_type='completion', repositories=[], events=[EventOut(name='status-updated', created_at=1752043098, data={'status': 'QUEUED'}), EventOut(name='status-updated', created_at=1752043100, data={'status': 'VALIDATING'}), EventOut(name='status-updated', created_at=1752043144, data={'status': 'VALIDATED'}), EventOut(name='status-updated', created_at=1752043145, data={'status': 'RUNNING'}), EventOut(name='status-updated', created_at=1752043672, data={'status': 'SUCCESS'})], checkpoints=[CheckpointOut(metrics=MetricOut(train_loss=0.009326, valid_loss=0.0, valid_mean_token_accuracy=0.0), step_number=69, created_at=1752043625), CheckpointOut(metrics=MetricOut(train_loss=0.008591, valid_loss=0.0, valid_mean_token_accuracy=0.0), step_number=68, created_at=1752043615), CheckpointOut(metrics=MetricOut(train_loss=0.005936, valid_loss=0.0, valid_mean_token_accuracy=0.0), step_number=67, created_at=1752043603), CheckpointOut(metrics=MetricOut(train_loss=0.009011, valid_loss=0.0, valid_mean_token_accuracy=0.0), step_number=66, created_at=1752043603), CheckpointOut(metrics=MetricOut(train_loss=0.010018, valid_loss=0.0, valid_mean_token_accuracy=0.0), step_number=65, created_at=1752043590), CheckpointOut(metrics=MetricOut(train_loss=0.00867, valid_loss=0.0, valid_mean_token_accuracy=0.0), step_number=64, created_at=1752043590), CheckpointOut(metrics=MetricOut(train_loss=0.009096, valid_loss=0.0, valid_mean_token_accuracy=0.0), step_number=63, created_at=1752043578), CheckpointOut(metrics=MetricOut(train_loss=0.007807, valid_loss=0.0, valid_mean_token_accuracy=0.0), step_number=62, created_at=1752043578), CheckpointOut(metrics=MetricOut(train_loss=0.008053, valid_loss=0.0, valid_mean_token_accuracy=0.0), step_number=61, created_at=1752043565), CheckpointOut(metrics=MetricOut(train_loss=0.010532, valid_loss=0.0, valid_mean_token_accuracy=0.0), step_number=60, created_at=1752043565), CheckpointOut(metrics=MetricOut(train_loss=0.006738, valid_loss=0.0, valid_mean_token_accuracy=0.0), step_number=59, created_at=1752043553), CheckpointOut(metrics=MetricOut(train_loss=0.006264, valid_loss=0.0, valid_mean_token_accuracy=0.0), step_number=58, created_at=1752043553), CheckpointOut(metrics=MetricOut(train_loss=0.010614, valid_loss=0.0, valid_mean_token_accuracy=0.0), step_number=57, created_at=1752043540), CheckpointOut(metrics=MetricOut(train_loss=0.009714, valid_loss=0.0, valid_mean_token_accuracy=0.0), step_number=56, created_at=1752043540), CheckpointOut(metrics=MetricOut(train_loss=0.010644, valid_loss=0.0, valid_mean_token_accuracy=0.0), step_number=55, created_at=1752043527), CheckpointOut(metrics=MetricOut(train_loss=0.010451, valid_loss=0.0, valid_mean_token_accuracy=0.0), step_number=54, created_at=1752043527), CheckpointOut(metrics=MetricOut(train_loss=0.005935, valid_loss=0.0, valid_mean_token_accuracy=0.0), step_number=53, created_at=1752043515), CheckpointOut(metrics=MetricOut(train_loss=0.009525, valid_loss=0.0, valid_mean_token_accuracy=0.0), step_number=52, created_at=1752043515), CheckpointOut(metrics=MetricOut(train_loss=0.010794, valid_loss=0.0, valid_mean_token_accuracy=0.0), step_number=51, created_at=1752043502), CheckpointOut(metrics=MetricOut(train_loss=0.011183, valid_loss=0.0, valid_mean_token_accuracy=0.0), step_number=50, created_at=1752043502), CheckpointOut(metrics=MetricOut(train_loss=0.012462, valid_loss=0.0, valid_mean_token_accuracy=0.0), step_number=49, created_at=1752043490), CheckpointOut(metrics=MetricOut(train_loss=0.012663, valid_loss=0.0, valid_mean_token_accuracy=0.0), step_number=48, created_at=1752043490), CheckpointOut(metrics=MetricOut(train_loss=0.009134, valid_loss=0.0, valid_mean_token_accuracy=0.0), step_number=47, created_at=1752043477), CheckpointOut(metrics=MetricOut(train_loss=0.010485, valid_loss=0.0, valid_mean_token_accuracy=0.0), step_number=46, created_at=1752043477), CheckpointOut(metrics=MetricOut(train_loss=0.012633, valid_loss=0.0, valid_mean_token_accuracy=0.0), step_number=45, created_at=1752043465), CheckpointOut(metrics=MetricOut(train_loss=0.011085, valid_loss=0.0, valid_mean_token_accuracy=0.0), step_number=44, created_at=1752043465), CheckpointOut(metrics=MetricOut(train_loss=0.012592, valid_loss=0.0, valid_mean_token_accuracy=0.0), step_number=43, created_at=1752043452), CheckpointOut(metrics=MetricOut(train_loss=0.010184, valid_loss=0.0, valid_mean_token_accuracy=0.0), step_number=42, created_at=1752043452), CheckpointOut(metrics=MetricOut(train_loss=0.010861, valid_loss=0.0, valid_mean_token_accuracy=0.0), step_number=41, created_at=1752043440), CheckpointOut(metrics=MetricOut(train_loss=0.012849, valid_loss=0.0, valid_mean_token_accuracy=0.0), step_number=40, created_at=1752043440), CheckpointOut(metrics=MetricOut(train_loss=0.011922, valid_loss=0.0, valid_mean_token_accuracy=0.0), step_number=39, created_at=1752043427), CheckpointOut(metrics=MetricOut(train_loss=0.011363, valid_loss=0.0, valid_mean_token_accuracy=0.0), step_number=38, created_at=1752043427), CheckpointOut(metrics=MetricOut(train_loss=0.01149, valid_loss=0.0, valid_mean_token_accuracy=0.0), step_number=37, created_at=1752043415), CheckpointOut(metrics=MetricOut(train_loss=0.011954, valid_loss=0.0, valid_mean_token_accuracy=0.0), step_number=36, created_at=1752043415), CheckpointOut(metrics=MetricOut(train_loss=0.014921, valid_loss=0.0, valid_mean_token_accuracy=0.0), step_number=35, created_at=1752043402), CheckpointOut(metrics=MetricOut(train_loss=0.01281, valid_loss=0.0, valid_mean_token_accuracy=0.0), step_number=34, created_at=1752043402), CheckpointOut(metrics=MetricOut(train_loss=0.015148, valid_loss=0.0, valid_mean_token_accuracy=0.0), step_number=33, created_at=1752043390), CheckpointOut(metrics=MetricOut(train_loss=0.013306, valid_loss=0.0, valid_mean_token_accuracy=0.0), step_number=32, created_at=1752043390), CheckpointOut(metrics=MetricOut(train_loss=0.011962, valid_loss=0.0, valid_mean_token_accuracy=0.0), step_number=31, created_at=1752043377), CheckpointOut(metrics=MetricOut(train_loss=0.015576, valid_loss=0.0, valid_mean_token_accuracy=0.0), step_number=30, created_at=1752043377), CheckpointOut(metrics=MetricOut(train_loss=0.013281, valid_loss=0.0, valid_mean_token_accuracy=0.0), step_number=29, created_at=1752043364), CheckpointOut(metrics=MetricOut(train_loss=0.016127, valid_loss=0.0, valid_mean_token_accuracy=0.0), step_number=28, created_at=1752043364), CheckpointOut(metrics=MetricOut(train_loss=0.016682, valid_loss=0.0, valid_mean_token_accuracy=0.0), step_number=27, created_at=1752043352), CheckpointOut(metrics=MetricOut(train_loss=0.022796, valid_loss=0.0, valid_mean_token_accuracy=0.0), step_number=26, created_at=1752043352), CheckpointOut(metrics=MetricOut(train_loss=0.016829, valid_loss=0.0, valid_mean_token_accuracy=0.0), step_number=25, created_at=1752043339), CheckpointOut(metrics=MetricOut(train_loss=0.021579, valid_loss=0.0, valid_mean_token_accuracy=0.0), step_number=24, created_at=1752043339), CheckpointOut(metrics=MetricOut(train_loss=0.017825, valid_loss=0.0, valid_mean_token_accuracy=0.0), step_number=23, created_at=1752043327), CheckpointOut(metrics=MetricOut(train_loss=0.018751, valid_loss=0.0, valid_mean_token_accuracy=0.0), step_number=22, created_at=1752043327), CheckpointOut(metrics=MetricOut(train_loss=0.021328, valid_loss=0.0, valid_mean_token_accuracy=0.0), step_number=21, created_at=1752043314), CheckpointOut(metrics=MetricOut(train_loss=0.023594, valid_loss=0.0, valid_mean_token_accuracy=0.0), step_number=20, created_at=1752043314), CheckpointOut(metrics=MetricOut(train_loss=0.021021, valid_loss=0.0, valid_mean_token_accuracy=0.0), step_number=19, created_at=1752043302), CheckpointOut(metrics=MetricOut(train_loss=0.022274, valid_loss=0.0, valid_mean_token_accuracy=0.0), step_number=18, created_at=1752043302), CheckpointOut(metrics=MetricOut(train_loss=0.024297, valid_loss=0.0, valid_mean_token_accuracy=0.0), step_number=17, created_at=1752043289), CheckpointOut(metrics=MetricOut(train_loss=0.029455, valid_loss=0.0, valid_mean_token_accuracy=0.0), step_number=16, created_at=1752043289), CheckpointOut(metrics=MetricOut(train_loss=0.02163, valid_loss=0.0, valid_mean_token_accuracy=0.0), step_number=15, created_at=1752043277), CheckpointOut(metrics=MetricOut(train_loss=0.03258, valid_loss=0.0, valid_mean_token_accuracy=0.0), step_number=14, created_at=1752043277), CheckpointOut(metrics=MetricOut(train_loss=0.02844, valid_loss=0.0, valid_mean_token_accuracy=0.0), step_number=13, created_at=1752043264), CheckpointOut(metrics=MetricOut(train_loss=0.033968, valid_loss=0.0, valid_mean_token_accuracy=0.0), step_number=12, created_at=1752043264), CheckpointOut(metrics=MetricOut(train_loss=0.042879, valid_loss=0.0, valid_mean_token_accuracy=0.0), step_number=11, created_at=1752043252), CheckpointOut(metrics=MetricOut(train_loss=0.058494, valid_loss=0.0, valid_mean_token_accuracy=0.0), step_number=10, created_at=1752043252), CheckpointOut(metrics=MetricOut(train_loss=0.077197, valid_loss=0.0, valid_mean_token_accuracy=0.0), step_number=9, created_at=1752043239), CheckpointOut(metrics=MetricOut(train_loss=0.110066, valid_loss=0.0, valid_mean_token_accuracy=0.0), step_number=8, created_at=1752043239), CheckpointOut(metrics=MetricOut(train_loss=0.153941, valid_loss=0.0, valid_mean_token_accuracy=0.0), step_number=7, created_at=1752043227), CheckpointOut(metrics=MetricOut(train_loss=0.209562, valid_loss=0.0, valid_mean_token_accuracy=0.0), step_number=6, created_at=1752043227), CheckpointOut(metrics=MetricOut(train_loss=0.327292, valid_loss=0.0, valid_mean_token_accuracy=0.0), step_number=5, created_at=1752043214), CheckpointOut(metrics=MetricOut(train_loss=0.542241, valid_loss=0.0, valid_mean_token_accuracy=0.0), step_number=4, created_at=1752043214), CheckpointOut(metrics=MetricOut(train_loss=1.104899, valid_loss=0.0, valid_mean_token_accuracy=0.0), step_number=3, created_at=1752043202), CheckpointOut(metrics=MetricOut(train_loss=1.268538, valid_loss=0.0, valid_mean_token_accuracy=0.0), step_number=2, created_at=1752043202), CheckpointOut(metrics=MetricOut(train_loss=1.309649, valid_loss=0.0, valid_mean_token_accuracy=0.0), step_number=1, created_at=1752043191)])"
]
},
"execution_count": 40,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~\n",
"# See all the details associated with a finetuning job\n",
"# ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~\n",
"retrieved_job"
]
},
{
"cell_type": "code",
"execution_count": 41,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 729
},
"id": "4zkm12vPCmQa",
"outputId": "9de2588a-3eb0-4a36-be86-3580cbf0cbe7"
},
"outputs": [
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 1200x800 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~\n",
"# Visualize the evolution of the loss during FT\n",
"# ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~\n",
"def plot_loss(job_id: str, model: str) -> None:\n",
" # Extract step_number and train_loss from the job data\n",
" retrieved_job = client.fine_tuning.jobs.get(job_id=job_id)\n",
" step_numbers = [checkpoint.step_number for checkpoint in retrieved_job.checkpoints]\n",
" train_losses = [checkpoint.metrics.train_loss for checkpoint in retrieved_job.checkpoints]\n",
"\n",
" # Plot the data\n",
" plt.figure(figsize=(12, 8))\n",
" plt.plot(step_numbers, train_losses, marker='o', linestyle='-', color='b', label='Train Loss')\n",
"\n",
" # Adding titles and labels\n",
" plt.title(f'Finetune {model} on your data - Train Loss', fontsize=16, fontweight='bold')\n",
" plt.xlabel('Step Number', fontsize=14)\n",
" plt.ylabel('Train Loss', fontsize=14)\n",
"\n",
" # Adding grid for better readability\n",
" plt.grid(True, linestyle='--', alpha=0.7)\n",
"\n",
" # Adding legend\n",
" plt.legend(loc='best')\n",
"\n",
" # Customizing the appearance\n",
" plt.xticks(fontsize=12)\n",
" plt.yticks(fontsize=12)\n",
"\n",
" # Adding a background color\n",
" plt.gca().set_facecolor('#f0f0f0')\n",
"\n",
" # Display the plot\n",
" plt.show()\n",
"\n",
"plot_loss(job_id=retrieved_job.id, model=pixtral)"
]
},
{
"cell_type": "code",
"execution_count": 42,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 35
},
"id": "tMrwcp0sgnk4",
"outputId": "5108abb7-5104-4f58-e878-effa95fa3070"
},
"outputs": [
{
"data": {
"application/vnd.google.colaboratory.intrinsic+json": {
"type": "string"
},
"text/plain": [
"'ft:pixtral-12b-latest:d3417809:20250709:7ddb123c'"
]
},
"execution_count": 42,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~\n",
"# Retrieve the ID of the fine-tuned model\n",
"# ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~\n",
"fine_tuned_pixtral = client.fine_tuning.jobs.get(job_id=created_job.id).fine_tuned_model\n",
"fine_tuned_pixtral"
]
},
{
"cell_type": "code",
"execution_count": 43,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 260
},
"id": "rw41z_tUnJGD",
"outputId": "6385772f-710c-454c-b001-2e37682393dd"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"file ID: 4b34bbd3-443a-4d46-82e3-356c5f942063\n",
"job ID: ebfd09ce-74e0-484a-9ec8-61ef6d6c0d10\n",
"Job finished with status SUCCESS\n"
]
},
{
"data": {
"application/vnd.google.colaboratory.intrinsic+json": {
"summary": "{\n \"name\": \"results_df\",\n \"rows\": 1910,\n \"fields\": [\n {\n \"column\": \"id\",\n \"properties\": {\n \"dtype\": \"string\",\n \"num_unique_values\": 1910,\n \"samples\": [\n \"batch-ebfd09ce-292-52454e32-97c2-461c-8227-a25f6f3e6214\",\n \"batch-ebfd09ce-123-3a75f81d-52ab-42e5-9db5-e6920d7a719a\",\n \"batch-ebfd09ce-1934-042596bd-1910-4ed7-b321-9f4bd07a652d\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"custom_id\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 578,\n \"min\": 0,\n \"max\": 1999,\n \"num_unique_values\": 1910,\n \"samples\": [\n 291,\n 122,\n 1933\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"response\",\n \"properties\": {\n \"dtype\": \"object\",\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"error\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": null,\n \"min\": null,\n \"max\": null,\n \"num_unique_values\": 0,\n \"samples\": [],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n }\n ]\n}",
"type": "dataframe",
"variable_name": "results_df"
},
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" <div>\n",
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" .dataframe tbody tr th:only-of-type {\n",
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" <th>1</th>\n",
" <td>batch-ebfd09ce-702-e40634bf-2f84-49e2-a1e6-1ec...</td>\n",
" <td>701</td>\n",
" <td>{'status_code': 200, 'body': {'id': '669fb455a...</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>batch-ebfd09ce-704-47dc4590-5589-4dac-8f8d-d2f...</td>\n",
" <td>703</td>\n",
" <td>{'status_code': 200, 'body': {'id': '87467f701...</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>batch-ebfd09ce-706-6f253cff-4c7f-41a2-9191-2fa...</td>\n",
" <td>705</td>\n",
" <td>{'status_code': 200, 'body': {'id': '4962c9696...</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>batch-ebfd09ce-707-bb259ddb-ee92-4a24-a225-9d8...</td>\n",
" <td>706</td>\n",
" <td>{'status_code': 200, 'body': {'id': '0d2c0dad1...</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>\n",
" <div class=\"colab-df-buttons\">\n",
"\n",
" <div class=\"colab-df-container\">\n",
" <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-7462d10e-d192-4ac2-a44d-9088738a380b')\"\n",
" title=\"Convert this dataframe to an interactive table.\"\n",
" style=\"display:none;\">\n",
"\n",
" <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n",
" <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n",
" </svg>\n",
" </button>\n",
"\n",
" <style>\n",
" .colab-df-container {\n",
" display:flex;\n",
" gap: 12px;\n",
" }\n",
"\n",
" .colab-df-convert {\n",
" background-color: #E8F0FE;\n",
" border: none;\n",
" border-radius: 50%;\n",
" cursor: pointer;\n",
" display: none;\n",
" fill: #1967D2;\n",
" height: 32px;\n",
" padding: 0 0 0 0;\n",
" width: 32px;\n",
" }\n",
"\n",
" .colab-df-convert:hover {\n",
" background-color: #E2EBFA;\n",
" box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
" fill: #174EA6;\n",
" }\n",
"\n",
" .colab-df-buttons div {\n",
" margin-bottom: 4px;\n",
" }\n",
"\n",
" [theme=dark] .colab-df-convert {\n",
" background-color: #3B4455;\n",
" fill: #D2E3FC;\n",
" }\n",
"\n",
" [theme=dark] .colab-df-convert:hover {\n",
" background-color: #434B5C;\n",
" box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
" filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
" fill: #FFFFFF;\n",
" }\n",
" </style>\n",
"\n",
" <script>\n",
" const buttonEl =\n",
" document.querySelector('#df-7462d10e-d192-4ac2-a44d-9088738a380b button.colab-df-convert');\n",
" buttonEl.style.display =\n",
" google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
"\n",
" async function convertToInteractive(key) {\n",
" const element = document.querySelector('#df-7462d10e-d192-4ac2-a44d-9088738a380b');\n",
" const dataTable =\n",
" await google.colab.kernel.invokeFunction('convertToInteractive',\n",
" [key], {});\n",
" if (!dataTable) return;\n",
"\n",
" const docLinkHtml = 'Like what you see? Visit the ' +\n",
" '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
" + ' to learn more about interactive tables.';\n",
" element.innerHTML = '';\n",
" dataTable['output_type'] = 'display_data';\n",
" await google.colab.output.renderOutput(dataTable, element);\n",
" const docLink = document.createElement('div');\n",
" docLink.innerHTML = docLinkHtml;\n",
" element.appendChild(docLink);\n",
" }\n",
" </script>\n",
" </div>\n",
"\n",
"\n",
" <div id=\"df-c38345cf-1c98-4bcc-b1ab-189ffe687c37\">\n",
" <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-c38345cf-1c98-4bcc-b1ab-189ffe687c37')\"\n",
" title=\"Suggest charts\"\n",
" style=\"display:none;\">\n",
"\n",
"<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
" width=\"24px\">\n",
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" </g>\n",
"</svg>\n",
" </button>\n",
"\n",
"<style>\n",
" .colab-df-quickchart {\n",
" --bg-color: #E8F0FE;\n",
" --fill-color: #1967D2;\n",
" --hover-bg-color: #E2EBFA;\n",
" --hover-fill-color: #174EA6;\n",
" --disabled-fill-color: #AAA;\n",
" --disabled-bg-color: #DDD;\n",
" }\n",
"\n",
" [theme=dark] .colab-df-quickchart {\n",
" --bg-color: #3B4455;\n",
" --fill-color: #D2E3FC;\n",
" --hover-bg-color: #434B5C;\n",
" --hover-fill-color: #FFFFFF;\n",
" --disabled-bg-color: #3B4455;\n",
" --disabled-fill-color: #666;\n",
" }\n",
"\n",
" .colab-df-quickchart {\n",
" background-color: var(--bg-color);\n",
" border: none;\n",
" border-radius: 50%;\n",
" cursor: pointer;\n",
" display: none;\n",
" fill: var(--fill-color);\n",
" height: 32px;\n",
" padding: 0;\n",
" width: 32px;\n",
" }\n",
"\n",
" .colab-df-quickchart:hover {\n",
" background-color: var(--hover-bg-color);\n",
" box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
" fill: var(--button-hover-fill-color);\n",
" }\n",
"\n",
" .colab-df-quickchart-complete:disabled,\n",
" .colab-df-quickchart-complete:disabled:hover {\n",
" background-color: var(--disabled-bg-color);\n",
" fill: var(--disabled-fill-color);\n",
" box-shadow: none;\n",
" }\n",
"\n",
" .colab-df-spinner {\n",
" border: 2px solid var(--fill-color);\n",
" border-color: transparent;\n",
" border-bottom-color: var(--fill-color);\n",
" animation:\n",
" spin 1s steps(1) infinite;\n",
" }\n",
"\n",
" @keyframes spin {\n",
" 0% {\n",
" border-color: transparent;\n",
" border-bottom-color: var(--fill-color);\n",
" border-left-color: var(--fill-color);\n",
" }\n",
" 20% {\n",
" border-color: transparent;\n",
" border-left-color: var(--fill-color);\n",
" border-top-color: var(--fill-color);\n",
" }\n",
" 30% {\n",
" border-color: transparent;\n",
" border-left-color: var(--fill-color);\n",
" border-top-color: var(--fill-color);\n",
" border-right-color: var(--fill-color);\n",
" }\n",
" 40% {\n",
" border-color: transparent;\n",
" border-right-color: var(--fill-color);\n",
" border-top-color: var(--fill-color);\n",
" }\n",
" 60% {\n",
" border-color: transparent;\n",
" border-right-color: var(--fill-color);\n",
" }\n",
" 80% {\n",
" border-color: transparent;\n",
" border-right-color: var(--fill-color);\n",
" border-bottom-color: var(--fill-color);\n",
" }\n",
" 90% {\n",
" border-color: transparent;\n",
" border-bottom-color: var(--fill-color);\n",
" }\n",
" }\n",
"</style>\n",
"\n",
" <script>\n",
" async function quickchart(key) {\n",
" const quickchartButtonEl =\n",
" document.querySelector('#' + key + ' button');\n",
" quickchartButtonEl.disabled = true; // To prevent multiple clicks.\n",
" quickchartButtonEl.classList.add('colab-df-spinner');\n",
" try {\n",
" const charts = await google.colab.kernel.invokeFunction(\n",
" 'suggestCharts', [key], {});\n",
" } catch (error) {\n",
" console.error('Error during call to suggestCharts:', error);\n",
" }\n",
" quickchartButtonEl.classList.remove('colab-df-spinner');\n",
" quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
" }\n",
" (() => {\n",
" let quickchartButtonEl =\n",
" document.querySelector('#df-c38345cf-1c98-4bcc-b1ab-189ffe687c37 button');\n",
" quickchartButtonEl.style.display =\n",
" google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
" })();\n",
" </script>\n",
" </div>\n",
"\n",
" </div>\n",
" </div>\n"
],
"text/plain": [
" id custom_id \\\n",
"0 batch-ebfd09ce-701-b84a7252-b0e6-4183-bbf7-e88... 700 \n",
"1 batch-ebfd09ce-702-e40634bf-2f84-49e2-a1e6-1ec... 701 \n",
"2 batch-ebfd09ce-704-47dc4590-5589-4dac-8f8d-d2f... 703 \n",
"3 batch-ebfd09ce-706-6f253cff-4c7f-41a2-9191-2fa... 705 \n",
"4 batch-ebfd09ce-707-bb259ddb-ee92-4a24-a225-9d8... 706 \n",
"\n",
" response error \n",
"0 {'status_code': 200, 'body': {'id': '452dc4800... NaN \n",
"1 {'status_code': 200, 'body': {'id': '669fb455a... NaN \n",
"2 {'status_code': 200, 'body': {'id': '87467f701... NaN \n",
"3 {'status_code': 200, 'body': {'id': '4962c9696... NaN \n",
"4 {'status_code': 200, 'body': {'id': '0d2c0dad1... NaN "
]
},
"execution_count": 43,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~\n",
"# Make a batch inference with fine-tuned model\n",
"# ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~\n",
"\n",
"created_job = client.batch.jobs.create(\n",
" input_files=[batch_inference_data.id],\n",
" model=fine_tuned_pixtral,\n",
" endpoint=\"/v1/chat/completions\",\n",
" metadata={\"job_type\": \"testing\"}\n",
")\n",
"\n",
"print(\"file ID:\", batch_inference_data.id)\n",
"print(\"job ID:\", created_job.id)\n",
"\n",
"with timeout(3600):\n",
" while True:\n",
" retrieved_job = client.batch.jobs.get(job_id=created_job.id)\n",
" if retrieved_job.status not in [\"RUNNING\", \"QUEUED\"]:\n",
" print(f\"Job finished with status {retrieved_job.status}\")\n",
" break\n",
"\n",
" time.sleep(30) # Pause for 30s\n",
"\n",
"\n",
"if not retrieved_job.status == \"SUCCESS\":\n",
" raise RuntimeError(\"Batch job failed\")\n",
"\n",
"output_file_stream = client.files.download(file_id=retrieved_job.output_file)\n",
"results_df = pd.read_json(path_or_buf=output_file_stream, lines=True)\n",
"results_df.head()"
]
},
{
"cell_type": "code",
"execution_count": 44,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 206
},
"id": "JmPL7L8pFPky",
"outputId": "2b7df404-a4a9-410a-d624-726a9dfbd5c4"
},
"outputs": [
{
"data": {
"application/vnd.google.colaboratory.intrinsic+json": {
"summary": "{\n \"name\": \"parsed_results_df\",\n \"rows\": 1910,\n \"fields\": [\n {\n \"column\": \"custom_id\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 578,\n \"min\": 0,\n \"max\": 1999,\n \"num_unique_values\": 1910,\n \"samples\": [\n 1304,\n 121,\n 1933\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"predicted_ft:pixtral-12b-latest:d3417809:20250709:7ddb123c\",\n \"properties\": {\n \"dtype\": \"category\",\n \"num_unique_values\": 31,\n \"samples\": [\n \"Farmland\",\n \"School\",\n \"MediumResidential\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n }\n ]\n}",
"type": "dataframe",
"variable_name": "parsed_results_df"
},
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" border-color: transparent;\n",
" border-right-color: var(--fill-color);\n",
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" document.querySelector('#' + key + ' button');\n",
" quickchartButtonEl.disabled = true; // To prevent multiple clicks.\n",
" quickchartButtonEl.classList.add('colab-df-spinner');\n",
" try {\n",
" const charts = await google.colab.kernel.invokeFunction(\n",
" 'suggestCharts', [key], {});\n",
" } catch (error) {\n",
" console.error('Error during call to suggestCharts:', error);\n",
" }\n",
" quickchartButtonEl.classList.remove('colab-df-spinner');\n",
" quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
" }\n",
" (() => {\n",
" let quickchartButtonEl =\n",
" document.querySelector('#df-2595a6f6-cdb2-4f6e-8a62-f4804cb8f3df button');\n",
" quickchartButtonEl.style.display =\n",
" google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
" })();\n",
" </script>\n",
" </div>\n",
"\n",
" </div>\n",
" </div>\n"
],
"text/plain": [
" custom_id predicted_ft:pixtral-12b-latest:d3417809:20250709:7ddb123c\n",
"0 0 Pond \n",
"1 1 River \n",
"2 5 BaseballField \n",
"3 7 DenseResidential \n",
"4 8 Bridge "
]
},
"execution_count": 44,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~\n",
"# Apply processing to the retrieved results (same as previously)\n",
"# ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~\n",
"parsed_results_df = results_df.copy()\n",
"parsed_results_df[f\"predicted_{fine_tuned_pixtral}\"] = (\n",
" parsed_results_df[\"response\"]\n",
" .apply(lambda response: parse_content(response[\"body\"][\"choices\"][0][\"message\"][\"content\"]))\n",
" .apply(lambda x: x.label if x else None)\n",
")\n",
"\n",
"parsed_results_df = (\n",
" parsed_results_df.sort_values(\"custom_id\")\n",
" .reset_index(drop=True)\n",
" [[\"custom_id\", f\"predicted_{fine_tuned_pixtral}\"]]\n",
")\n",
"\n",
"parsed_results_df.head()"
]
},
{
"cell_type": "code",
"execution_count": 45,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 224
},
"id": "vYlIzufWFPh9",
"outputId": "dfe49276-bc2a-4490-b005-85c358979ef6"
},
"outputs": [
{
"data": {
"application/vnd.google.colaboratory.intrinsic+json": {
"summary": "{\n \"name\": \"model_comparison_df\",\n \"rows\": 1910,\n \"fields\": [\n {\n \"column\": \"label\",\n \"properties\": {\n \"dtype\": \"category\",\n \"num_unique_values\": 30,\n \"samples\": [\n \"RailwayStation\",\n \"Park\",\n \"Center\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"img_path\",\n \"properties\": {\n \"dtype\": \"string\",\n \"num_unique_values\": 1910,\n \"samples\": [\n \"satellite_dataset/AID/DenseResidential/denseresidential_27.jpg\",\n \"satellite_dataset/AID/Viaduct/viaduct_169.jpg\",\n \"satellite_dataset/AID/Center/center_111.jpg\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"img_b64\",\n \"properties\": {\n \"dtype\": \"string\",\n \"num_unique_values\": 1910,\n \"samples\": [\n 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\",\n 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\",\n 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\"\n 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" <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-3b2ae810-21a7-419d-aeff-b99c4208cd32')\"\n",
" title=\"Convert this dataframe to an interactive table.\"\n",
" style=\"display:none;\">\n",
"\n",
" <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n",
" <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n",
" </svg>\n",
" </button>\n",
"\n",
" <style>\n",
" .colab-df-container {\n",
" display:flex;\n",
" gap: 12px;\n",
" }\n",
"\n",
" .colab-df-convert {\n",
" background-color: #E8F0FE;\n",
" border: none;\n",
" border-radius: 50%;\n",
" cursor: pointer;\n",
" display: none;\n",
" fill: #1967D2;\n",
" height: 32px;\n",
" padding: 0 0 0 0;\n",
" width: 32px;\n",
" }\n",
"\n",
" .colab-df-convert:hover {\n",
" background-color: #E2EBFA;\n",
" box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
" fill: #174EA6;\n",
" }\n",
"\n",
" .colab-df-buttons div {\n",
" margin-bottom: 4px;\n",
" }\n",
"\n",
" [theme=dark] .colab-df-convert {\n",
" background-color: #3B4455;\n",
" fill: #D2E3FC;\n",
" }\n",
"\n",
" [theme=dark] .colab-df-convert:hover {\n",
" background-color: #434B5C;\n",
" box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
" filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
" fill: #FFFFFF;\n",
" }\n",
" </style>\n",
"\n",
" <script>\n",
" const buttonEl =\n",
" document.querySelector('#df-3b2ae810-21a7-419d-aeff-b99c4208cd32 button.colab-df-convert');\n",
" buttonEl.style.display =\n",
" google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
"\n",
" async function convertToInteractive(key) {\n",
" const element = document.querySelector('#df-3b2ae810-21a7-419d-aeff-b99c4208cd32');\n",
" const dataTable =\n",
" await google.colab.kernel.invokeFunction('convertToInteractive',\n",
" [key], {});\n",
" if (!dataTable) return;\n",
"\n",
" const docLinkHtml = 'Like what you see? Visit the ' +\n",
" '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
" + ' to learn more about interactive tables.';\n",
" element.innerHTML = '';\n",
" dataTable['output_type'] = 'display_data';\n",
" await google.colab.output.renderOutput(dataTable, element);\n",
" const docLink = document.createElement('div');\n",
" docLink.innerHTML = docLinkHtml;\n",
" element.appendChild(docLink);\n",
" }\n",
" </script>\n",
" </div>\n",
"\n",
"\n",
" <div id=\"df-20f83d4f-f38a-43bd-9355-640ae5b99983\">\n",
" <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-20f83d4f-f38a-43bd-9355-640ae5b99983')\"\n",
" title=\"Suggest charts\"\n",
" style=\"display:none;\">\n",
"\n",
"<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
" width=\"24px\">\n",
" <g>\n",
" <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
" </g>\n",
"</svg>\n",
" </button>\n",
"\n",
"<style>\n",
" .colab-df-quickchart {\n",
" --bg-color: #E8F0FE;\n",
" --fill-color: #1967D2;\n",
" --hover-bg-color: #E2EBFA;\n",
" --hover-fill-color: #174EA6;\n",
" --disabled-fill-color: #AAA;\n",
" --disabled-bg-color: #DDD;\n",
" }\n",
"\n",
" [theme=dark] .colab-df-quickchart {\n",
" --bg-color: #3B4455;\n",
" --fill-color: #D2E3FC;\n",
" --hover-bg-color: #434B5C;\n",
" --hover-fill-color: #FFFFFF;\n",
" --disabled-bg-color: #3B4455;\n",
" --disabled-fill-color: #666;\n",
" }\n",
"\n",
" .colab-df-quickchart {\n",
" background-color: var(--bg-color);\n",
" border: none;\n",
" border-radius: 50%;\n",
" cursor: pointer;\n",
" display: none;\n",
" fill: var(--fill-color);\n",
" height: 32px;\n",
" padding: 0;\n",
" width: 32px;\n",
" }\n",
"\n",
" .colab-df-quickchart:hover {\n",
" background-color: var(--hover-bg-color);\n",
" box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
" fill: var(--button-hover-fill-color);\n",
" }\n",
"\n",
" .colab-df-quickchart-complete:disabled,\n",
" .colab-df-quickchart-complete:disabled:hover {\n",
" background-color: var(--disabled-bg-color);\n",
" fill: var(--disabled-fill-color);\n",
" box-shadow: none;\n",
" }\n",
"\n",
" .colab-df-spinner {\n",
" border: 2px solid var(--fill-color);\n",
" border-color: transparent;\n",
" border-bottom-color: var(--fill-color);\n",
" animation:\n",
" spin 1s steps(1) infinite;\n",
" }\n",
"\n",
" @keyframes spin {\n",
" 0% {\n",
" border-color: transparent;\n",
" border-bottom-color: var(--fill-color);\n",
" border-left-color: var(--fill-color);\n",
" }\n",
" 20% {\n",
" border-color: transparent;\n",
" border-left-color: var(--fill-color);\n",
" border-top-color: var(--fill-color);\n",
" }\n",
" 30% {\n",
" border-color: transparent;\n",
" border-left-color: var(--fill-color);\n",
" border-top-color: var(--fill-color);\n",
" border-right-color: var(--fill-color);\n",
" }\n",
" 40% {\n",
" border-color: transparent;\n",
" border-right-color: var(--fill-color);\n",
" border-top-color: var(--fill-color);\n",
" }\n",
" 60% {\n",
" border-color: transparent;\n",
" border-right-color: var(--fill-color);\n",
" }\n",
" 80% {\n",
" border-color: transparent;\n",
" border-right-color: var(--fill-color);\n",
" border-bottom-color: var(--fill-color);\n",
" }\n",
" 90% {\n",
" border-color: transparent;\n",
" border-bottom-color: var(--fill-color);\n",
" }\n",
" }\n",
"</style>\n",
"\n",
" <script>\n",
" async function quickchart(key) {\n",
" const quickchartButtonEl =\n",
" document.querySelector('#' + key + ' button');\n",
" quickchartButtonEl.disabled = true; // To prevent multiple clicks.\n",
" quickchartButtonEl.classList.add('colab-df-spinner');\n",
" try {\n",
" const charts = await google.colab.kernel.invokeFunction(\n",
" 'suggestCharts', [key], {});\n",
" } catch (error) {\n",
" console.error('Error during call to suggestCharts:', error);\n",
" }\n",
" quickchartButtonEl.classList.remove('colab-df-spinner');\n",
" quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
" }\n",
" (() => {\n",
" let quickchartButtonEl =\n",
" document.querySelector('#df-20f83d4f-f38a-43bd-9355-640ae5b99983 button');\n",
" quickchartButtonEl.style.display =\n",
" google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
" })();\n",
" </script>\n",
" </div>\n",
"\n",
" </div>\n",
" </div>\n"
],
"text/plain": [
" label img_path \\\n",
"0 Pond satellite_dataset/AID/Pond/pond_161.jpg \n",
"1 River satellite_dataset/AID/River/river_384.jpg \n",
"2 BaseballField satellite_dataset/AID/BaseballField/baseballfi... \n",
"3 DenseResidential satellite_dataset/AID/DenseResidential/densere... \n",
"4 Bridge satellite_dataset/AID/Bridge/bridge_158.jpg \n",
"\n",
" img_b64 custom_id \\\n",
"0 data:image/jpeg;base64,/9j/4AAQSkZJRgABAQAAAQA... 0 \n",
"1 data:image/jpeg;base64,/9j/4AAQSkZJRgABAQAAAQA... 1 \n",
"2 data:image/jpeg;base64,/9j/4AAQSkZJRgABAQAAAQA... 5 \n",
"3 data:image/jpeg;base64,/9j/4AAQSkZJRgABAQAAAQA... 7 \n",
"4 data:image/jpeg;base64,/9j/4AAQSkZJRgABAQAAAQA... 8 \n",
"\n",
" predicted_pixtral-12b-2409 \\\n",
"0 Pond \n",
"1 River \n",
"2 BaseballField \n",
"3 DenseResidential \n",
"4 Bridge \n",
"\n",
" predicted_ft:pixtral-12b-latest:d3417809:20250709:7ddb123c \n",
"0 Pond \n",
"1 River \n",
"2 BaseballField \n",
"3 DenseResidential \n",
"4 Bridge "
]
},
"execution_count": 45,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"model_comparison_df = comparison_df.merge(parsed_results_df)\n",
"model_comparison_df.head()"
]
},
{
"cell_type": "code",
"execution_count": 46,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "U4ey8TVxQrFR",
"outputId": "cef03791-528b-4237-b0e5-1a03ff9696e4"
},
"outputs": [
{
"data": {
"text/plain": [
"(2000, 2000)"
]
},
"execution_count": 46,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"len(y_true), len(y_pred)"
]
},
{
"cell_type": "code",
"execution_count": 59,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 1000
},
"id": "IzkGw-ADFPcA",
"outputId": "6e7c9473-b828-43e5-b4d0-afc439f8fc8e"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Confusion Matrix:\n"
]
},
{
"data": {
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",
"text/plain": [
"<Figure size 800x600 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Classification Report:\n",
" precision recall f1-score support\n",
"\n",
" School 0.86 0.84 0.85 70\n",
" Farmland 0.85 0.94 0.89 62\n",
" Airport 0.87 0.95 0.91 43\n",
" BaseballField 0.97 0.96 0.97 78\n",
" Resort 0.96 0.91 0.93 70\n",
" Viaduct 0.81 0.90 0.85 51\n",
" Forest 0.89 0.85 0.87 47\n",
" Beach 0.77 0.82 0.79 68\n",
" Parking 0.85 0.92 0.89 76\n",
"MediumResidential 0.91 0.86 0.89 59\n",
" Pond 0.95 0.99 0.97 70\n",
" Park 0.96 0.88 0.91 49\n",
" Port 0.90 0.84 0.87 73\n",
" Meadow 0.90 0.90 0.90 52\n",
" BareLand 0.91 0.89 0.90 54\n",
" Playground 0.93 1.00 0.96 66\n",
"SparseResidential 0.92 0.91 0.92 67\n",
" Desert 0.99 0.97 0.98 73\n",
" DenseResidential 0.99 0.97 0.98 71\n",
" Bridge 0.94 0.96 0.95 80\n",
" Square 0.98 0.92 0.95 71\n",
" River 0.73 0.81 0.77 47\n",
" StorageTanks 0.79 0.83 0.81 54\n",
" Commercial 0.93 0.90 0.92 79\n",
" Center 0.84 0.73 0.78 59\n",
" Stadium 0.98 1.00 0.99 55\n",
" Industrial 0.95 0.87 0.91 61\n",
" RailwayStation 0.92 0.89 0.91 54\n",
" Mountain 0.97 0.94 0.96 70\n",
" Church 0.99 1.00 0.99 81\n",
" WRONG 0.00 0.00 0.00 0\n",
"\n",
" accuracy 0.91 1910\n",
" macro avg 0.88 0.88 0.88 1910\n",
" weighted avg 0.91 0.91 0.91 1910\n",
"\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"/usr/local/lib/python3.11/dist-packages/sklearn/metrics/_classification.py:1565: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.\n",
" _warn_prf(average, modifier, f\"{metric.capitalize()} is\", len(result))\n",
"/usr/local/lib/python3.11/dist-packages/sklearn/metrics/_classification.py:1565: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.\n",
" _warn_prf(average, modifier, f\"{metric.capitalize()} is\", len(result))\n",
"/usr/local/lib/python3.11/dist-packages/sklearn/metrics/_classification.py:1565: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.\n",
" _warn_prf(average, modifier, f\"{metric.capitalize()} is\", len(result))\n"
]
}
],
"source": [
"# ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~\n",
"# Get classification metrics on the new model\n",
"# 🎉 🎉 🎉 Good news: performance are improved:\n",
"# - overall accuracy improvement (from ~0.5 to ~0.8)\n",
"# - almost no more hallucination\n",
"# - huge performance gain on some classes\n",
"# ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~\n",
"\n",
"from sklearn.metrics import confusion_matrix, classification_report, accuracy_score, ConfusionMatrixDisplay\n",
"import matplotlib.pyplot as plt\n",
"\n",
"y_true = [*model_comparison_df[\"label\"]]\n",
"y_pred = [\n",
" # NOTE: Pixtral-12B might have hallucinated some categories\n",
" # We'll put them under the \"WRONG\" label\n",
" label if label in classes else \"WRONG\"\n",
" for label in model_comparison_df[f\"predicted_{fine_tuned_pixtral}\"]\n",
"]\n",
"\n",
"labels = classes + ([\"WRONG\"] if \"WRONG\" in y_pred else [])\n",
"\n",
"\n",
"# ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~\n",
"# Confusion matrix\n",
"# ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~\n",
"cm = confusion_matrix(y_true, y_pred, labels=labels)\n",
"print(\"Confusion Matrix:\")\n",
"\n",
"disp = ConfusionMatrixDisplay(confusion_matrix=cm, display_labels=labels)\n",
"fig, ax = plt.subplots(figsize=(8, 6))\n",
"disp.plot(ax=ax, cmap='Oranges', colorbar=False)\n",
"plt.title(f\"Confusion Matrix ({fine_tuned_pixtral})\", fontsize=18, fontweight='bold')\n",
"plt.xticks(rotation=90)\n",
"plt.show()\n",
"\n",
"# ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~\n",
"# Classification report\n",
"# ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~\n",
"print(\"Classification Report:\")\n",
"print(classification_report(y_true, y_pred, target_names=labels))"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "t47_7PP3Gq_l"
},
"source": [
"## Wrapping up: Finetuning Pixtral-12B really improves its classification accuracy"
]
},
{
"cell_type": "code",
"execution_count": 60,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 689
},
"id": "iGMUqKwQGRIR",
"outputId": "9bc25a77-ca50-4655-a4ef-ace211b82a30"
},
"outputs": [
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 1000x600 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~\n",
"# Compare the two models:\n",
"# - Huge performance gain on some classes\n",
"# - A few classes see a small drop in performance, but overall\n",
"# model performance is improved\n",
"# ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~\n",
"\n",
"import numpy as np\n",
"import matplotlib.pyplot as plt\n",
"from sklearn.metrics import accuracy_score\n",
"\n",
"def per_class_accuracy(y_true, y_pred, classes):\n",
" accuracies = []\n",
" for cls in classes:\n",
" idx = np.where(np.array(y_true) == cls)[0]\n",
" if len(idx) == 0:\n",
" accuracies.append(np.nan)\n",
" else:\n",
" acc = accuracy_score(np.array(y_true)[idx], np.array(y_pred)[idx])\n",
" accuracies.append(acc)\n",
" return accuracies\n",
"\n",
"\n",
"y_true = model_comparison_df[\"label\"]\n",
"y_pred_pixtral = model_comparison_df[f\"predicted_{pixtral}\"]\n",
"y_pred_ft_pixtral = model_comparison_df[f\"predicted_{fine_tuned_pixtral}\"]\n",
"classes = sorted(set(y_true))\n",
"\n",
"# Compute per-class accuracy\n",
"acc_pixtral = per_class_accuracy(y_true, y_pred_pixtral, classes)\n",
"acc_ft_pixtral = per_class_accuracy(y_true, y_pred_ft_pixtral, classes)\n",
"\n",
"# ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~\n",
"# Plotting\n",
"# ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~\n",
"x = np.arange(len(classes))\n",
"width = 0.35\n",
"\n",
"fig, ax = plt.subplots(figsize=(10, 6))\n",
"bars1 = ax.bar(x - width/2, acc_pixtral, width, label=pixtral, color='#F39C12')\n",
"bars2 = ax.bar(x + width/2, acc_ft_pixtral, width, label=fine_tuned_pixtral, color='#D35400')\n",
"\n",
"ax.set_xlabel('Class', fontsize=14)\n",
"ax.set_ylabel('Accuracy', fontsize=14)\n",
"ax.set_title('Per-Class Accuracy Comparison', fontsize=16, fontweight='bold')\n",
"ax.set_xticks(x)\n",
"ax.set_xticklabels(classes)\n",
"ax.set_ylim(0, 1.0)\n",
"ax.legend()\n",
"\n",
"plt.grid(axis='y', linestyle='--', alpha=0.7)\n",
"plt.xticks(rotation=90)\n",
"plt.show()\n"
]
}
],
"metadata": {
"colab": {
"provenance": []
},
"kernelspec": {
"display_name": "Python 3",
"name": "python3"
},
"language_info": {
"name": "python"
}
},
"nbformat": 4,
"nbformat_minor": 0
}