mnist-conditional-gan

Local run name: gan_run

Generator weights exported from the Week 6 GAN lab training codebase.

Repository files

Key	Value
mnist_cgan_generator.pth	Generator state_dict (PyTorch)
generator_training_config.json	Training hyperparameters / layout (JSON)
README.md	This model card (auto-generated on upload)

Export provenance

Key	Value
Checkpoint path	/home/ucloud/caa-andre/complements-ml-labs-andreribeiro87/week-06/outputs/runs/gan_run__20260322T142324Z__9e0ad9f4/checkpoints/latest.pt
Run directory JSON	config.json, run_meta.json

Run metadata (run_meta.json)

Key	Value
config_fingerprint	9e0ad9f4
created_utc	20260322T142324Z
run_name	gan_run

Training configuration (summary)

Key	Value
run_name	gan_run
task	mnist
image_size	64
nz	100
ngf	64
ndf	64
num_classes	10
adversarial_loss	hinge
use_gradient_penalty	False
lambda_fm	0.0
lambda_perc	0.0
epochs	25
max_steps	None
batch_size	32
lr_g	0.0002
lr_d	0.0002
n_critic	1
seed	42
spectral_norm_d	True

Source JSON (run directory)

Verbatim JSON files from the run folder root (next to checkpoints/).

config.json

{
  "adversarial_loss": "hinge",
  "batch_size": 32,
  "beta1": 0.5,
  "beta2": 0.999,
  "checkpoint_every": 1000,
  "data_cache_dir": null,
  "device": "cuda",
  "epochs": 25,
  "eval_at_end": true,
  "eval_batch_size": 32,
  "eval_every": 1000,
  "eval_num_fake": 2048,
  "eval_num_real": 2048,
  "image_size": 64,
  "lambda_fm": 0.0,
  "lambda_gp": 10.0,
  "lambda_perc": 0.0,
  "log_every": 50,
  "lr_d": 0.0002,
  "lr_g": 0.0002,
  "max_steps": null,
  "metrics_device": null,
  "n_critic": 1,
  "n_samples_grid": 64,
  "ndf": 64,
  "ngf": 64,
  "num_classes": 10,
  "num_workers": 2,
  "nz": 100,
  "output_root": "outputs",
  "run_name": "gan_run",
  "sample_every": 500,
  "seed": 42,
  "spectral_norm_d": true,
  "tags": {},
  "task": "mnist",
  "use_bf16": true,
  "use_gradient_penalty": false,
  "use_wandb": true,
  "wandb_entity": null,
  "wandb_mode": "online",
  "wandb_project": "week06-gan"
}

run_meta.json

{
  "config": {
    "adversarial_loss": "hinge",
    "batch_size": 32,
    "beta1": 0.5,
    "beta2": 0.999,
    "checkpoint_every": 1000,
    "data_cache_dir": null,
    "device": "cuda",
    "epochs": 25,
    "eval_at_end": true,
    "eval_batch_size": 32,
    "eval_every": 1000,
    "eval_num_fake": 2048,
    "eval_num_real": 2048,
    "image_size": 64,
    "lambda_fm": 0.0,
    "lambda_gp": 10.0,
    "lambda_perc": 0.0,
    "log_every": 50,
    "lr_d": 0.0002,
    "lr_g": 0.0002,
    "max_steps": null,
    "metrics_device": null,
    "n_critic": 1,
    "n_samples_grid": 64,
    "ndf": 64,
    "ngf": 64,
    "num_classes": 10,
    "num_workers": 2,
    "nz": 100,
    "output_root": "outputs",
    "run_name": "gan_run",
    "sample_every": 500,
    "seed": 42,
    "spectral_norm_d": true,
    "tags": {},
    "task": "mnist",
    "use_bf16": true,
    "use_gradient_penalty": false,
    "use_wandb": true,
    "wandb_entity": null,
    "wandb_mode": "online",
    "wandb_project": "week06-gan"
  },
  "config_fingerprint": "9e0ad9f4",
  "created_utc": "20260322T142324Z",
  "run_name": "gan_run"
}