resnet50-val09050-resnet-tuned

pcam-interpretability/resnet50-val09050-resnet-tuned

resnet50-val09050-resnet-tuned is a machine learning model from pcam-interpretability. Use it for the machine learning task on the model card, and read the license before you ship it in a product.

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Public

Updated Apr 28, 2025

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94.3 MB

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Hugging Face

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.pth94.3 MB · 100%

At a glance

Access: Public
Created: Apr 28, 2025
Updated: Apr 28, 2025
SHA: fad9f4cd

Model card

From the Hugging Face model README

resnet50

Best Validation Accuracy: 0.9050

Metadata

Model Name: resnet50
Optimizer: adamw
Scheduler: cosine
Weight Decay: 0.0005
Warmup Epochs: 3
Patience: 7
Amp: True
Seed: 42
Batch Size: 32
Initial Lr: 0.0005
Total Epochs Ran: 14
Early Stopped: True
Training Time Seconds: 33306.75762796402
Num Parameters: 22067009
Device: NVIDIA A100-SXM4-40GB
Run Id: resnet-tuned

Training Configuration

Epochs: 14
Batch size: 32
Learning rate (initial): 0.0005

Training Logs (Per Epoch)

Epoch	Train Loss	Train Acc	Val Loss	Val Acc	LR
1	0.2662	0.8921	0.2935	0.8786	0.000167
2	0.2245	0.9125	0.3381	0.8763	0.000333
3	0.2090	0.9196	0.4355	0.8174	0.000500
4	0.1841	0.9304	0.3426	0.8751	0.000500
5	0.1678	0.9376	0.3754	0.8611	0.000499
6	0.1554	0.9430	0.4509	0.8415	0.000495
7	0.1447	0.9468	0.2905	0.9050	0.000488
8	0.1373	0.9502	0.4505	0.8444	0.000478
9	0.1297	0.9539	0.4726	0.8473	0.000467
10	0.1224	0.9569	0.3371	0.8867	0.000452
11	0.1167	0.9583	0.3782	0.8741	0.000436
12	0.1115	0.9604	0.4738	0.8645	0.000417
13	0.1052	0.9626	0.3477	0.8896	0.000397
14	0.0998	0.9647	0.4067	0.8845	0.000375

Created: Apr 28, 2025
Updated: Apr 28, 2025