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config.json

@@ -0,0 +1,52 @@
+{
+  "model_version": "smol-v7-sc-temporal",
+  "tag": "aa1",
+  "vocab_size": 11,
+  "d_model": 384,
+  "nhead": 6,
+  "num_layers": 4,
+  "max_size": 30,
+  "embedding_dropout": 0.1,
+  "input_grid_dropout": 0.05,
+  "num_timesteps": 128,
+  "schedule_type": "cosine",
+  "batch_size": 128,
+  "learning_rate": 0.0004,
+  "weight_decay": 0.01,
+  "optimizer_steps": 48000,
+  "lr_warmup_steps": 2000,
+  "gradient_accumulation_steps": 1,
+  "augment": true,
+  "log_every": 100,
+  "val_every_steps": 500,
+  "vis_every_steps": 16000,
+  "eval_every_steps": 10000,
+  "num_eval_tasks": 120,
+  "best_model_metric": "eval_score",
+  "eval_dataset": "evaluation",
+  "use_mixed_precision": true,
+  "pixel_noise_prob": 0.0,
+  "pixel_noise_rate": 0.0,
+  "use_ema": true,
+  "ema_decay": 0.9995,
+  "ema_warmup_steps": 2000,
+  "data_dir": "data/arc-prize-2024",
+  "datasets": [
+    "training_challenges",
+    "evaluation_challenges"
+  ],
+  "include_training_test_examples": true,
+  "max_val_examples": 128,
+  "eval_weight": 1.0,
+  "output_dir": "experimental/diffusion/outputs/smol",
+  "use_wandb": true,
+  "save_best": true,
+  "save_final": true,
+  "auxiliary_loss": {
+    "include_size_head": true,
+    "size_head_hidden_dim": 256,
+    "auxiliary_size_loss_weight": 0.1,
+    "auxiliary_size_loss_warmup": 0
+  },
+  "profile_mode": false
+}