ones_beta_100_epochs | arpastrana Overview – Weights & Biases

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Group: ones_beta_100_epochs

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Notes

Author

State

Finished

Start time

November 29th, 2020 5:36:50 PM

Runtime

5m 20s

Tracked hours

2m 52s

Run path

arpastrana/beta_vae/kjurlvyl

OS

Linux-4.19.112+-x86_64-with-Ubuntu-18.04-bionic

Python version

3.6.9

Git repository

git clone /Users/arpj/code/princeton/neu_vae

Git state

git checkout -b "beta_200_z_10" 0877db0e016bb0171ff272f8bc97ae96654566d5

Command

<python with no main file> -f /root/.local/share/jupyter/runtime/kernel-bdf1ccab-bce5-48de-90e3-0fbd359db975.json

System Hardware

CPU count	2
GPU count	1
GPU type	Tesla K80

W&B CLI Version

0.10.11

Group

ones_beta_100_epochs

Config parameters are your model's inputs. Learn more

▶
Config parameters:{} 32 keys
- batch_size:
  100
- beta:
  200
- data_path:
  "../../../data/external"
- decoder_act_func:
  "tanh"
- decoder_hidden_dim:
  500
- decoder_name:
  "LinearDecoder"
- decoder_pred_func:
  "sigmoid"
- device:
  "cuda"
- encoder_act_func:
  "tanh"
- encoder_hidden_dim:
  500
- encoder_name:
  "LinearEncoder"
- epochs:
  100
- group:
  "ones_beta_100_epochs"
- input_dim:
  784
- lr:
  0.01
- model:
  "BetaVAE( (encoder): LinearEncoder( (linear): Linear(in_features=784, out_features=500, bias=True) (mean): Linear(in_features=500, out_features=10, bias=True) (logvar): Linear(in_features=500, out_features=10, bias=True) ) (decoder): LinearDecoder( (linear): Linear(in_features=10, out_features=500, bias=True) (output): Linear(in_features=500, out_features=784, bias=True) ) )"
- n_classes:
  10
- optimizer:
  "Adagrad ( Parameter Group 0 eps: 1e-10 initial_accumulator_value: 0 lr: 0.01 lr_decay: 0 weight_decay: 0 )"
- optimizer_name:
  "Adagrad"
- project:
  "beta_vae"
- rec_loss:
  "binary_cross_entropy"
- run_name:
  "beta_200_z_10"
- save_model:
  true
- seed:
  1
- single_label:
  1
- test_batcher:
  "<torch.utils.data.dataloader.DataLoader object at 0x7fd3da4d5da0>"
- test_num_img:
  10
- train_batcher:
  "<torch.utils.data.dataloader.DataLoader object at 0x7fd3da4d5d68>"
- use_single_label:
  true
- vae_name:
  "BetaVAE"
- wandb:
  true
- z_dim:
  10

Summary metrics are your model's outputs. Learn more

▶
Summary metrics:{} 8 keys
- ▶
  graph_7:{} 4 keys
  - _type:
    "graph-file"
  - path:
    "media/graph/g.r.a.p.h._.7_summary_b455385b.graph.json"
  - sha256:
    "b455385b2113c4884b14938de94037bcd1aada7899955aa5042f3b8956c16b9f"
  - size:
    991
- ▶
  Test Example:{} 8 keys
- Test Loss - KL Divergence:
  0.04217057459154843
- Test Loss - Reconstruction:
  96.67612562809748
- Test Loss - Total:
  96.7182957048458
- Train Loss - KL Divergence:
  0.03473658361550928
- Train Loss - Reconstruction:
  97.52190892330724
- Train Loss - Total:
  97.55664547739453

This run produced these artifacts as outputs. Total: 1. Learn more

run-kjurlvyl-history:v0

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