# Active Fine-tuning on TinyImageNet Source: [Active Fine-tuning on TinyImageNet]() Collection index: [llms.txt]() Data updated: 2026-04-15T08:22:26.141Z Evaluation of Active Fine-tuning performance on the TinyImageNet dataset, measured using F-accuracy at different sample rates (2% and 3%). A research result applies to its stated dataset, split, metric and evaluation configuration. Compare like-for-like settings, preserve the metric's unit and direction, and distinguish paper-reported results from independent reproduction. The best result recorded here is not a claim of exhaustive, current global coverage. | Scope | Recorded value | | --- | --- | | Task | Active Fine-tuning | | Dataset (including any stated split) | TinyImageNet | | Metric | F-acc (2%) | | Unit | PERCENT | | Direction | Higher is better | | Results loaded | 3 of 3 | | Coverage | All results currently returned for this benchmark | Evaluation settings may differ between results. The original papers and recorded configurations are needed to establish comparability. A shared metric name alone does not establish an identical protocol. ## Metrics - [F-acc (2%)](): Higher is better; unit: PERCENT. - [F-acc (3%)](): Higher is better; unit: PERCENT. ## Recorded results | Method | F-acc (2%) | Result date | Report paper | | --- | --- | --- | --- | | BRAL-T | 30 | Not recorded | 69df1b707d0172140ec7b7b2 | | ActiveFT | 28.9 | Not recorded | 69df1b707d0172140ec7b7b2 | | RandomSample | 21.3 | Not recorded | 69df1b707d0172140ec7b7b2 | ### BRAL-T F-acc (2%): 30. Result ID: 69df4a5047f34ce924c7fb63. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Backbone":"Deit-Small","Pre-trained":"DINO framework on ImageNet-1k","Resolution":"224 x 224","Initial labeled subset":"1%","Active learning iteration increment":"1%","Batch size":"512","Epochs":"1000","Optimizer":"SGD"}. This record does not assert independent reproduction. ### ActiveFT F-acc (2%): 28.9. Result ID: 69df4a5047f34ce924c7fb62. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Backbone":"Deit-Small","Pre-trained":"DINO framework on ImageNet-1k","Resolution":"224 x 224","Initial labeled subset":"1%","Active learning iteration increment":"1%","Batch size":"512","Epochs":"1000","Optimizer":"SGD"}. This record does not assert independent reproduction. ### RandomSample F-acc (2%): 21.3. Result ID: 69df4a5047f34ce924c7fb61. [Reporting paper]() Recorded evaluation configuration: {"Backbone":"Deit-Small","Pre-trained":"DINO framework on ImageNet-1k","Resolution":"224 x 224","Initial labeled subset":"1%","Active learning iteration increment":"1%","Batch size":"512","Epochs":"1000","Optimizer":"SGD"}. This record does not assert independent reproduction. Page 1 of 1. This is an index page, not the full collection.