---
title: Resnet50 Image Classifier
emoji: 📉
colorFrom: red
colorTo: purple
sdk: gradio
sdk_version: 5.12.0
app_file: app.py
pinned: false
short_description: ResNet50 model trained on ImageNet Dataset of 1000 classes
---

Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

<pre>
Epoch: [10] Total time: 0:34:49
Test:   [  0/196]  eta: 0:15:22  loss: 2.3581 (2.3581)  acc1: 63.6719 (63.6719)  acc5: 89.0625 (89.0625)  time: 4.7075  data: 4.4695  max mem: 12905
Test:   [100/196]  eta: 0:00:29  loss: 3.3925 (2.8562)  acc1: 38.2812 (51.5161)  acc5: 66.7969 (79.0068)  time: 0.2379  data: 0.0003  max mem: 12905
Test:  Total time: 0:00:54
Test:  Acc@1 47.506 Acc@5 74.236

Epoch: [11] Total time: 0:34:49
Test:   [  0/196]  eta: 0:15:56  loss: 2.4094 (2.4094)  acc1: 64.4531 (64.4531)  acc5: 89.0625 (89.0625)  time: 4.8820  data: 4.6439  max mem: 12905
Test:   [100/196]  eta: 0:00:30  loss: 3.4837 (2.9939)  acc1: 36.3281 (49.0215)  acc5: 67.1875 (76.7481)  time: 0.2523  data: 0.0147  max mem: 12905
Test:  Total time: 0:00:54
Test:  Acc@1 46.916 Acc@5 73.774

Epoch: [12] Total time: 0:34:49
Test:   [  0/196]  eta: 0:16:04  loss: 2.1682 (2.1682)  acc1: 69.1406 (69.1406)  acc5: 92.5781 (92.5781)  time: 4.9221  data: 4.6836  max mem: 12905
Test:   [100/196]  eta: 0:00:29  loss: 3.5695 (2.8364)  acc1: 35.1562 (52.0614)  acc5: 63.6719 (79.2659)  time: 0.2545  data: 0.0168  max mem: 12905
Test:  Total time: 0:00:54
Test:  Acc@1 48.304 Acc@5 74.626

Epoch: [13] Total time: 0:34:48
Test:   [  0/196]  eta: 0:17:28  loss: 2.2632 (2.2632)  acc1: 68.3594 (68.3594)  acc5: 89.4531 (89.4531)  time: 5.3511  data: 5.1130  max mem: 12905
Test:   [100/196]  eta: 0:00:30  loss: 3.5760 (2.9239)  acc1: 39.4531 (52.5101)  acc5: 66.7969 (78.9720)  time: 0.2380  data: 0.0003  max mem: 12905
Test:  Total time: 0:00:54
Test:  Acc@1 48.908 Acc@5 74.982

Epoch: [14] Total time: 0:34:49
Test:   [  0/196]  eta: 0:16:47  loss: 2.2360 (2.2360)  acc1: 65.6250 (65.6250)  acc5: 90.2344 (90.2344)  time: 5.1387  data: 4.9008  max mem: 12905
Test:   [100/196]  eta: 0:00:30  loss: 3.4053 (2.8317)  acc1: 38.6719 (52.1117)  acc5: 69.1406 (79.7030)  time: 0.2428  data: 0.0051  max mem: 12905
Test:  Total time: 0:00:54
Test:  Acc@1 48.958 Acc@5 75.700
</pre>


![My Image](logs_with_train_py_screenshot.jpg)