Save model using Keras.

README.md

@@ -1,124 +1,15 @@
+
 ---
-base_model:
-- vnet
-- logasja/ArcFace
-- logasja/VGGFace
-datasets:
-- logasja/FDF
 library_name: keras
-license: gpl-3.0
-metrics:
-- TopIQ-FR
-- ArcFace Cosine Distance
-- VGGFace2 Cosine Distance
-pipeline_tag: image-to-image
-tags:
-- adversarial
-- aesthetic
-- quality
-- filter
-widget:
-- text: input
-  output:
-    url: ./assets/input.png
-- text: target
-  output:
-    url: ./assets/target.png
-- text: output
-  output:
-    url: ./assets/output.png
 ---
-<Gallery />
-
-Training logs [here](https://wandb.ai/spuds/auramask/runs/lcc51nuf)
-
-# Model Description
-Looking like markers
 
-```json
-{
-    "D": [
-        1,
-        1,
-        1,
-        1,
-        1
-    ],
-    "E": [
-        1,
-        1,
-        2,
-        3,
-        5
-    ],
-    "activation": "relu",
-    "batch_norm": false,
-    "filter_num": [
-        16,
-        32,
-        64,
-        128,
-        128
-    ],
-    "kernel_reg": "l2",
-    "n_labels": 3,
-    "output_activation": null
-}
-```
+This model has been uploaded using the Keras library and can be used with JAX,
+TensorFlow, and PyTorch backends.
 
-```json
-{
-    "alpha": 0.0001,
-    "batch": 16,
-    "epochs": 50,
-    "epsilon": 0.03,
-    "input": "(256, 256)",
-    "losses": {
-        "FEAT_ArcFace": {
-            "d": "cosine_similarity",
-            "f": "ArcFace",
-            "name": "FEAT_ArcFace",
-            "reduction": "sum_over_batch_size",
-            "threshold": 0.68,
-            "weight": 0.1
-        },
-        "TopIQ": {
-            "full_ref": true,
-            "lower_better": false,
-            "name": "TopIQ",
-            "reduction": "sum_over_batch_size",
-            "score_range": "~0, ~1",
-            "weight": 0.9
-        },
-        "mean_squared_error": {
-            "name": "mean_squared_error",
-            "reduction": "sum_over_batch_size",
-            "weight": 0.1
-        }
-    },
-    "mixed_precision": false,
-    "optimizer": {
-        "amsgrad": false,
-        "beta_1": 0.9,
-        "beta_2": 0.999,
-        "clipnorm": 1,
-        "clipvalue": null,
-        "ema_momentum": 0.99,
-        "ema_overwrite_frequency": null,
-        "epsilon": 1e-07,
-        "global_clipnorm": null,
-        "gradient_accumulation_steps": null,
-        "learning_rate": 9.999999747378752e-05,
-        "loss_scale_factor": null,
-        "name": "adam",
-        "use_ema": false,
-        "weight_decay": null
-    },
-    "seed": "ZLLKSUWLDRAC",
-    "testing": 0.1,
-    "training": 0.9
-}
-```
+This model card has been generated automatically and should be completed by the
+model author.
+See [Model Cards documentation](https://huggingface.co/docs/hub/model-cards) for
+more information.
 
-## Model Architecture Plot
-![](./assets/summary_plot.png)
+For more details about the model architecture, check out
+[config.json](./config.json).A plot of the model can be found [here](./assets/summary_plot.png).

metadata.json

@@ -1 +1 @@
-{"keras_version": "3.11.3", "date_saved": "2026-08-31@03:50:20"}
+{"keras_version": "3.11.3", "date_saved": "2026-08-31@04:01:53"}