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metrics.json

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+{
+  "final_model": "small + GQA + RoPE",
+  "main_repo": "lllezd/dl-course-hw13",
+  "variant_repo": "lllezd/dl-course-hw13-small-gqa-rope",
+  "eval_loss": 2.4694972038269043,
+  "eval_perplexity": 11.816504064743178,
+  "experiments": {
+    "1_small_gqa_baseline": {
+      "description": "small + GQA baseline",
+      "val_loss": 2.565,
+      "perplexity": 13.0
+    },
+    "2_small_gqa_rope": {
+      "description": "small + GQA + RoPE",
+      "val_loss": 2.4694972038269043,
+      "perplexity": 11.816504064743178
+    },
+    "3_mini_mla_rope": {
+      "description": "mini + MLA + RoPE",
+      "val_loss": 2.7306,
+      "perplexity": 15.34
+    },
+    "4_small_mla_rope": {
+      "description": "small + MLA + RoPE",
+      "val_loss": 2.4905,
+      "perplexity": 12.07
+    }
+  },
+  "config": {
+    "n_layer": 12,
+    "n_head": 12,
+    "n_kv_head": 6,
+    "hidden_dim": 768,
+    "intermediate_dim": 2048,
+    "dropout": 0.1,
+    "vocab_size": 1024,
+    "max_seq_len": 128,
+    "use_rope": true,
+    "rope_base": 10000.0,
+    "attention_type": "gqa",
+    "q_latent_dim": null,
+    "kv_latent_dim": null
+  },
+  "created_at": "2026-05-22T10:01:36.637143Z"
+}