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config.json

@@ -0,0 +1,63 @@
+{
+  "model": {
+    "bert_model": "google-bert/bert-large-uncased",
+    "hidden_size": 1024,
+    "freeze_bert": true,
+    "n_memory_tokens": 16,
+    "bank_size": 128,
+    "anchor_dim": 1024,
+    "n_bank_heads": 8,
+    "bank_cross_layers": 2,
+    "gate_type": "gru",
+    "extract_layers": [
+      2,
+      5,
+      8,
+      11,
+      14,
+      17,
+      20,
+      23
+    ],
+    "layer_fusion": "learned",
+    "max_content_tokens": 480,
+    "segment_overlap": 64,
+    "max_position": 512,
+    "n_teachers": 2,
+    "teacher_hidden": 1024,
+    "cv_target": 0.2
+  },
+  "training": {
+    "max_documents": 50000,
+    "max_val_documents": 500,
+    "segment_length": 480,
+    "segment_overlap": 64,
+    "target_chain_segments": 16,
+    "max_segments": 16,
+    "min_segments": 6,
+    "modern_bert_model": "answerdotai/ModernBERT-large",
+    "longformer_model": "allenai/longformer-large-4096",
+    "modern_max_len": 8192,
+    "longformer_max_len": 4096,
+    "procrustes_n_samples": 500,
+    "epochs": 10,
+    "batch_size": 4,
+    "lr_bank": 0.002,
+    "lr_output": 0.0005,
+    "lr_proj": 0.001,
+    "min_lr": 1e-06,
+    "weight_decay": 0.01,
+    "grad_clip": 1.0,
+    "warmup_steps": 300,
+    "tbptt_segments": 0,
+    "modern_weight": 1.0,
+    "longformer_weight": 0.5,
+    "cv_weight": 0.05,
+    "temperature": 0.07,
+    "checkpoint_dir": "/home/claude/deep_bert_v3_checkpoints",
+    "tensorboard_dir": "/home/claude/deep_bert_v3_tb",
+    "log_every": 20,
+    "eval_every": 200,
+    "save_every_epoch": true
+  }
+}