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Trained Model Logs

One Stage Models:​

  1. cctv-multilabel-sd1_d_all_VB.pkl Batch Size: 12, epochs: 5 trained on the video_group 01202023 from the SD1_700 (prev: 2023_05_26) dataset. Memory allocated: 8 GB. Time taken for training : 24 minutes.

  2. cctv-multilabel-sd1_single_vidgrp_FB Batch Size: 18, epochs: 5 trained on the video_group 01202023 from the SD1_700 (prev: 2023_05_26) dataset. Memory allocated: 12 GB. Time taken for training: 24 minutes, 39 seconds. Training dataset: train_SD1_700_01202023_FB.csv. Number of frames: 7494

  3. cctv-multilabel-test_model_FB Batch Size: 18, epochs: 5 trained on the single video_group 01202023 from the SD1_700 (prev: 2023_05_26) dataset. Memory allocated: 12 GB. Time taken for training: 24 minutes, 35 seconds. Training dataset: train_SD1_700_01202023_FB.csv. Number of frames: 7494

  4. cctv-multilabel-sd1_d_all_VB_larger Batch Size: 12, epochs: 5 trained on two video_groups 01202023 and 01182019 from the SD1_700 (prev 2023_05_26) dataset. Memory allocated: 8 GB. Time taken for training: 167 minutes, 30 seconds. Training dataset: train_SD1_2023_05_26_VB_larger.csv. Number of frames: 52202

  5. ** cctv-multilabel-sd12023_05_26+_SD1_B

Two Stage models:​

  1. cctv-first-stage-sd1_d_all_VB Batch Size: 12, epochs: 5 trained on one video_group 01202023 from the SD1_700 (prev 2023_05_26) dataset. Memory allocated: 8 GB. Time taken for training: 12 minutes 40 seconds. wandb link: https://wandb.ai/lence_ubc/cctv-sd1-singlelabel/runs/kiv0gjz4?nw=nwuserdevengqc

  2. cctv-second-stage-sd1_d_all_VB Batch Size: 12, epochs: 5 trained on one video_group 01202023 from the SD1_700 (prev 2023_05_26) dataset. Memory allocated: 8GB. Time taken for training: 2 minutes 5 seconds. wandb link: https://wandb.ai/lence_ubc/cctv-sd1-defect-multilabel/runs/nyux3vb0?nw=nwuserdevengqc

  3. cctv-first-stage-sd1_d_all_VB_larger Batch Size: 12, epochs: 5 trained on two video_groups 01202023 and 01182019 from the SD1_700 (prev 2023_05_26) dataset. Memory allocated: 8 GB. Time taken for training: 87 minutes 30 seconds. wandb link: https://wandb.ai/lence_ubc/cctv-sd1-singlelabel/runs/yldo3i4q?nw=nwuserdevengqc

  4. cctv-second-stage-sd1_d_all_VB_larger Batch Size: 12, epochs: 5 trained on two video_groups 01202023 and 01182019 from the SD1_700 (prev 2023_05_26) dataset. Memory allocated: 8 GB. Time taken for training: 25 minutes 6 seconds. wandb link: https://wandb.ai/lence_ubc/cctv-sd1-defect-multilabel/runs/ayil7640?nw=nwuserdevengqc

08/05/2024: Utility_X​

Command ran: ./localrunner.sh -s fastai_multi_label_v3_generic -r utility_x_FB -b 18 -e 10 -i train_utl_x_Dataset_X_FB -m test_model -t test_utl_x_Dataset_X_FB Time started: Mon Aug 5 04:23:26 PM EDT 2024 Time ended:Mon Aug 5 04:28:27 PM EDT 2024 Number of frames ran on: 1087 Run ID: utility_x_FB weights and biases account: deven-gqc wandb: ⭐ View project at https://wandb.ai/lence_ubc/cctv-utl_x-multilabel wandb: 🚀 View run at https://wandb.ai/lence_ubc/cctv-utl_x-multilabel/runs/cnixq4bl

Last updated on by Dhananjay