{ "architecture": "normalization_free_residual_mlp", "checkpoints": [ { "epoch": 0, "file": { "path": "checkpoints/epoch_00000.npz", "sha256": "f31e0d8c7f8165cca6e89d1cd8f570c6ec75278e2be297de048b118e6cbdcf2d", "size_bytes": 2669081 }, "test_accuracy": 0.1079, "train_accuracy": 0.10928333333333333 }, { "epoch": 1, "file": { "path": "checkpoints/epoch_00001.npz", "sha256": "452f25aad3be494ac50098e6f8e187908a2245a48970c37ddea59e65207b1bcf", "size_bytes": 2703008 }, "test_accuracy": 0.9159, "train_accuracy": 0.9171333333333334 }, { "epoch": 5, "file": { "path": "checkpoints/epoch_00005.npz", "sha256": "d33cc103526dcc16234291f7de4ac9722385c68210394446bc446acb19a06fa2", "size_bytes": 2704692 }, "test_accuracy": 0.9526, "train_accuracy": 0.9584666666666667 }, { "epoch": 20, "file": { "path": "checkpoints/epoch_00020.npz", "sha256": "7295c7d701a6af521f13a19409ebb6d18c1f150c6a4ade85573f424dcc02f1a1", "size_bytes": 2705499 }, "test_accuracy": 0.9786, "train_accuracy": 0.9991 }, { "epoch": 100, "file": { "path": "checkpoints/epoch_00100.npz", "sha256": "b08f9f350ed25823136fae1ccbb302b590d3368e2d7920d93020cef44240032c", "size_bytes": 2705520 }, "test_accuracy": 0.9799, "train_accuracy": 1.0 } ], "dataset_manifest": { "classes": 10, "format": "idx-gzip", "image_cols": 28, "image_rows": 28, "name": "mnist-idx-canonical", "read_only": true, "root": "data/mnist", "schema_version": 1, "source_note": "Canonical MNIST IDX gzip archives downloaded 2026-08-20 from the ossci-datasets S3 mirror (https://ossci-datasets.s3.amazonaws.com/mnist/). The four files are byte-identical to the classic yann.lecun.com distribution; their MD5 digests (f68b3c2dcbeaaa9fbdd348bbdeb94873, d53e105ee54ea40749a09fcbcd1e9432, 9fb629c4189551a2d022fa330f9573f3, ec29112dd5afa0611ce80d1b7f02629c) were cross-checked against the published values before pinning the SHA-256 digests below. The archives are local-only and remain outside version control.", "test": { "examples": 10000, "images": { "path": "t10k-images-idx3-ubyte.gz", "sha256": "8d422c7b0a1c1c79245a5bcf07fe86e33eeafee792b84584aec276f5a2dbc4e6", "size_bytes": 1648877 }, "labels": { "path": "t10k-labels-idx1-ubyte.gz", "sha256": "f7ae60f92e00ec6debd23a6088c31dbd2371eca3ffa0defaefb259924204aec6", "size_bytes": 4542 } }, "train": { "examples": 60000, "images": { "path": "train-images-idx3-ubyte.gz", "sha256": "440fcabf73cc546fa21475e81ea370265605f56be210a4024d2ca8f203523609", "size_bytes": 9912422 }, "labels": { "path": "train-labels-idx1-ubyte.gz", "sha256": "3552534a0a558bbed6aed32b30c495cca23d567ec52cac8be1a0730e8010255c", "size_bytes": 28881 } } }, "metrics_file": { "path": "training_progress.npz", "sha256": "9ff6bb52ff4bf056afeacd1bca1483f2abe5b7aa7edd5e500d97c8ce5f7dbf58", "size_bytes": 3372 }, "model_config": { "activation": "tanh", "blocks": 4, "classes": 10, "input_dim": 784, "width": 256 }, "schema_version": 1, "state_schema": [ { "dtype": "float32", "name": "input_projection.weight", "shape": [ 256, 784 ] }, { "dtype": "float32", "name": "input_projection.bias", "shape": [ 256 ] }, { "dtype": "float32", "name": "blocks.0.input.weight", "shape": [ 256, 256 ] }, { "dtype": "float32", "name": "blocks.0.input.bias", "shape": [ 256 ] }, { "dtype": "float32", "name": "blocks.0.output.weight", "shape": [ 256, 256 ] }, { "dtype": "float32", "name": "blocks.0.output.bias", "shape": [ 256 ] }, { "dtype": "float32", "name": "blocks.1.input.weight", "shape": [ 256, 256 ] }, { "dtype": "float32", "name": "blocks.1.input.bias", "shape": [ 256 ] }, { "dtype": "float32", "name": "blocks.1.output.weight", "shape": [ 256, 256 ] }, { "dtype": "float32", "name": "blocks.1.output.bias", "shape": [ 256 ] }, { "dtype": "float32", "name": "blocks.2.input.weight", "shape": [ 256, 256 ] }, { "dtype": "float32", "name": "blocks.2.input.bias", "shape": [ 256 ] }, { "dtype": "float32", "name": "blocks.2.output.weight", "shape": [ 256, 256 ] }, { "dtype": "float32", "name": "blocks.2.output.bias", "shape": [ 256 ] }, { "dtype": "float32", "name": "blocks.3.input.weight", "shape": [ 256, 256 ] }, { "dtype": "float32", "name": "blocks.3.input.bias", "shape": [ 256 ] }, { "dtype": "float32", "name": "blocks.3.output.weight", "shape": [ 256, 256 ] }, { "dtype": "float32", "name": "blocks.3.output.bias", "shape": [ 256 ] }, { "dtype": "float32", "name": "classifier.weight", "shape": [ 10, 256 ] }, { "dtype": "float32", "name": "classifier.bias", "shape": [ 10 ] } ], "task": "mnist_idx_classification", "training_config": { "batch_size": 128, "checkpoint_epochs": [ 0, 1, 5, 20, 100 ], "epochs": 100, "learning_rate": 0.01, "momentum": 0.9, "normalization_mean": 0.1307, "normalization_std": 0.3081, "seed": 3293946081, "weight_decay": 0.0 } }