Upload batch 11/100 (1000 files)

models/default/unsloth_full/math10_categoriesbalanced_Qwen3.5-9B_1_5e-05_0.01_8_16_0.1_probe-mid_504d5006/evals/math10_categoriesbalanced.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4a94374192cc311b48c6379ab0b3ee2bc084cde1bfdfa8f838b5ce18e22b03a3
+size 2281497

models/default/unsloth_full/math10_categoriesbalanced_Qwen3.5-9B_1_5e-05_0.01_8_16_0.1_probe-mid_504d5006/evals/math10_categoriesbalanced_metrics.json

@@ -0,0 +1,16 @@
+{
+  "train": {
+    "0.05": 0.5298888888888889,
+    "mse": 0.0070807488759131116,
+    "corr_pred_acc": 0.9451156767354827,
+    "corr_pred_cons": 0.8621133342719188,
+    "corr_cons_acc": 0.8538601342079819
+  },
+  "test": {
+    "0.05": 0.39066666666666666,
+    "mse": 0.012247494560047652,
+    "corr_pred_acc": 0.9023816693393105,
+    "corr_pred_cons": 0.9016411508588943,
+    "corr_cons_acc": 0.8642148483258465
+  }
+}

models/default/unsloth_full/math10_categoriesbalanced_Qwen3.5-9B_1_5e-05_0.01_8_16_0.1_probe-mid_504d5006/evals/math4_categoriesbalanced.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3ff62795901531ec4978f0d03c00cbe0512538ab4e801918ee5c48d9b49eecd1
+size 2250963

models/default/unsloth_full/math10_categoriesbalanced_Qwen3.5-9B_1_5e-05_0.01_8_16_0.1_probe-mid_504d5006/evals/math4_categoriesbalanced_metrics.json

@@ -0,0 +1,16 @@
+{
+  "train": {
+    "0.05": 0.15273148148148147,
+    "mse": 0.0343539798944365,
+    "corr_pred_acc": 0.8974582067147157,
+    "corr_pred_cons": 0.9072513659146162,
+    "corr_cons_acc": 0.8953169650141634
+  },
+  "test": {
+    "0.05": 0.18583333333333332,
+    "mse": 0.0410505406104315,
+    "corr_pred_acc": 0.8169772172738482,
+    "corr_pred_cons": 0.8769267694241131,
+    "corr_cons_acc": 0.8451030794515516
+  }
+}

models/default/unsloth_full/math10_categoriesbalanced_Qwen3.5-9B_1_5e-05_0.01_8_16_0.1_probe-mid_504d5006/evals/medmcqa4_categoriesbalanced.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:0f11eb4d68ffe0045d2cca46fe5252c241ea1d17dde66b4cb026b9e8522ce56c
+size 2288485

models/default/unsloth_full/math10_categoriesbalanced_Qwen3.5-9B_1_5e-05_0.01_8_16_0.1_probe-mid_504d5006/evals/medmcqa4_categoriesbalanced_metrics.json

@@ -0,0 +1,16 @@
+{
+  "train": {
+    "0.05": 0.0951749783693231,
+    "mse": 0.07710879462101397,
+    "corr_pred_acc": 0.6303013018519588,
+    "corr_pred_cons": 0.7494374220267384,
+    "corr_cons_acc": 0.7990859765693249
+  },
+  "test": {
+    "0.05": 0.09337622700651654,
+    "mse": 0.07600394334087568,
+    "corr_pred_acc": 0.6197010867755718,
+    "corr_pred_cons": 0.7438802373012882,
+    "corr_cons_acc": 0.7923044376634018
+  }
+}

models/default/unsloth_full/math10_categoriesbalanced_Qwen3.5-9B_1_5e-05_0.01_8_16_0.1_probe-mid_504d5006/evals/mmlupro10_categoriesbalanced.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:0c183e67a87bfe2a255a4fa85555cf2af234366664fe06d7d11333967bddd6ff
+size 213547

models/default/unsloth_full/math10_categoriesbalanced_Qwen3.5-9B_1_5e-05_0.01_8_16_0.1_probe-mid_504d5006/evals/mmlupro10_categoriesbalanced_metrics.json

@@ -0,0 +1,16 @@
+{
+  "train": {
+    "0.05": 0.2043145980458547,
+    "mse": 0.060838770794182775,
+    "corr_pred_acc": 0.671918384475518,
+    "corr_pred_cons": 0.7773872583271321,
+    "corr_cons_acc": 0.8097979754827205
+  },
+  "test": {
+    "0.05": 0.13061564059900166,
+    "mse": 0.07921723922105126,
+    "corr_pred_acc": 0.4884465756177054,
+    "corr_pred_cons": 0.6735304396026314,
+    "corr_cons_acc": 0.7063836280084969
+  }
+}

models/default/unsloth_full/math10_categoriesbalanced_Qwen3.5-9B_1_5e-05_0.01_8_16_0.1_probe-mid_504d5006/evals/mmlupro4_categoriesbalanced.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:cecb89a1045725b052fa823ceb2944b2c56fecb484744fe073db028617509e91
+size 218853

models/default/unsloth_full/math10_categoriesbalanced_Qwen3.5-9B_1_5e-05_0.01_8_16_0.1_probe-mid_504d5006/evals/mmlupro4_categoriesbalanced_metrics.json

@@ -0,0 +1,16 @@
+{
+  "train": {
+    "0.05": 0.12213383247543284,
+    "mse": 0.08214058845190382,
+    "corr_pred_acc": 0.6724132716383744,
+    "corr_pred_cons": 0.808267677313802,
+    "corr_cons_acc": 0.8327057369207903
+  },
+  "test": {
+    "0.05": 0.08996815286624203,
+    "mse": 0.0979348845985413,
+    "corr_pred_acc": 0.5193533624777997,
+    "corr_pred_cons": 0.6996218338474655,
+    "corr_cons_acc": 0.7619095887785695
+  }
+}

models/default/unsloth_full/math10_categoriesbalanced_Qwen3.5-9B_1_5e-05_0.01_8_16_0.1_probe-mid_504d5006/probe_meta.json

@@ -0,0 +1,9 @@
+{
+  "probe": "mid",
+  "n_layers_full": 32,
+  "n_layers_used": 16,
+  "hidden_size": 4096,
+  "model": "Qwen3.5-9B",
+  "dataset": "math10_categoriesbalanced",
+  "lora_rank": 16
+}

models/default/unsloth_full/math4_categoriesbalanced_Llama-2-7b-chat_1_5e-05_0.01_8_16_0.1_probe-mid_178880e3/evals/math10_categoriesbalanced.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:45e1990553b2e722f364441796eb524b4e958e41f47b7d1c98bc2b6e1ca7d3ce
+size 2330137

models/default/unsloth_full/math4_categoriesbalanced_Llama-2-7b-chat_1_5e-05_0.01_8_16_0.1_probe-mid_178880e3/evals/math10_categoriesbalanced_metrics.json

@@ -0,0 +1,16 @@
+{
+  "train": {
+    "0.05": 0.0717962962962963,
+    "mse": 0.059328775254163565,
+    "corr_pred_acc": 0.6673246324322548,
+    "corr_pred_cons": 0.3778218780470083,
+    "corr_cons_acc": 0.44309195382792343
+  },
+  "test": {
+    "0.05": 0.03375,
+    "mse": 0.05147641028565634,
+    "corr_pred_acc": 0.8367474528598989,
+    "corr_pred_cons": 0.830752630612619,
+    "corr_cons_acc": 0.7633962506714751
+  }
+}

models/default/unsloth_full/math4_categoriesbalanced_Llama-2-7b-chat_1_5e-05_0.01_8_16_0.1_probe-mid_178880e3/evals/math4_categoriesbalanced.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e6d632f668728004ac2275e83f8c8ed3bc3342ab4222b221203dfcd9784afd63
+size 2299475

models/default/unsloth_full/math4_categoriesbalanced_Llama-2-7b-chat_1_5e-05_0.01_8_16_0.1_probe-mid_178880e3/evals/math4_categoriesbalanced_metrics.json

@@ -0,0 +1,16 @@
+{
+  "train": {
+    "0.05": 0.3585833333333333,
+    "mse": 0.020541302103545007,
+    "corr_pred_acc": 0.8200239637640125,
+    "corr_pred_cons": 0.4990219212644657,
+    "corr_cons_acc": 0.43775535550754996
+  },
+  "test": {
+    "0.05": 0.078,
+    "mse": 0.05826149565294127,
+    "corr_pred_acc": 0.6224717038115366,
+    "corr_pred_cons": 0.6963508385553197,
+    "corr_cons_acc": 0.47175924918377005
+  }
+}

models/default/unsloth_full/math4_categoriesbalanced_Llama-2-7b-chat_1_5e-05_0.01_8_16_0.1_probe-mid_178880e3/evals/medmcqa4_categoriesbalanced.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8b0fc0c2407695d432949c108186e882b594bf6e11ddabfefe79a4aebb2dbe64
+size 2357413

models/default/unsloth_full/math4_categoriesbalanced_Llama-2-7b-chat_1_5e-05_0.01_8_16_0.1_probe-mid_178880e3/evals/medmcqa4_categoriesbalanced_metrics.json

@@ -0,0 +1,16 @@
+{
+  "train": {
+    "0.05": 0.08580475322619245,
+    "mse": 0.12339161761588376,
+    "corr_pred_acc": 0.04298800556695728,
+    "corr_pred_cons": 0.1415801764197467,
+    "corr_cons_acc": 0.3503191789280086
+  },
+  "test": {
+    "0.05": 0.08784954219252661,
+    "mse": 0.11466688638907337,
+    "corr_pred_acc": 0.06763084050271556,
+    "corr_pred_cons": 0.1683991726720648,
+    "corr_cons_acc": 0.33451280078254053
+  }
+}

models/default/unsloth_full/math4_categoriesbalanced_Llama-2-7b-chat_1_5e-05_0.01_8_16_0.1_probe-mid_178880e3/evals/mmlupro10_categoriesbalanced.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d7e32b0f3590f9f6552b95019086a5ceb1c12dbcc14e037652662c389b4ca214
+size 218859

models/default/unsloth_full/math4_categoriesbalanced_Llama-2-7b-chat_1_5e-05_0.01_8_16_0.1_probe-mid_178880e3/evals/mmlupro10_categoriesbalanced_metrics.json

@@ -0,0 +1,16 @@
+{
+  "train": {
+    "0.05": 0.043339460191544936,
+    "mse": 0.09266629211245078,
+    "corr_pred_acc": 0.03829804148411282,
+    "corr_pred_cons": 0.16719076883492903,
+    "corr_cons_acc": 0.3183910424921583
+  },
+  "test": {
+    "0.05": 0.045757071547420966,
+    "mse": 0.09732695910055222,
+    "corr_pred_acc": -0.005649957612695382,
+    "corr_pred_cons": 0.135567030213441,
+    "corr_cons_acc": 0.24217480944773512
+  }
+}

models/default/unsloth_full/math4_categoriesbalanced_Llama-2-7b-chat_1_5e-05_0.01_8_16_0.1_probe-mid_178880e3/evals/mmlupro4_categoriesbalanced.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d51bb5dc48d7df72539c20a14a1327e0707ece7d0a024e6e4241a562b5f8afb8
+size 225253

models/default/unsloth_full/math4_categoriesbalanced_Llama-2-7b-chat_1_5e-05_0.01_8_16_0.1_probe-mid_178880e3/evals/mmlupro4_categoriesbalanced_metrics.json

@@ -0,0 +1,16 @@
+{
+  "train": {
+    "0.05": 0.08825456247075339,
+    "mse": 0.11936802937322269,
+    "corr_pred_acc": 0.05701095981020954,
+    "corr_pred_cons": 0.15345507875958123,
+    "corr_cons_acc": 0.34949584200504086
+  },
+  "test": {
+    "0.05": 0.07484076433121019,
+    "mse": 0.11877848995494036,
+    "corr_pred_acc": -0.0018827664781575456,
+    "corr_pred_cons": 0.13779116128724256,
+    "corr_cons_acc": 0.2082317949129946
+  }
+}

models/default/unsloth_full/math4_categoriesbalanced_Llama-2-7b-chat_1_5e-05_0.01_8_16_0.1_probe-mid_178880e3/probe_meta.json

@@ -0,0 +1,9 @@
+{
+  "probe": "mid",
+  "n_layers_full": 32,
+  "n_layers_used": 16,
+  "hidden_size": 4096,
+  "model": "Llama-2-7b-chat",
+  "dataset": "math4_categoriesbalanced",
+  "lora_rank": 16
+}

models/default/unsloth_full/math4_categoriesbalanced_Ministral-3-8B-Instruct-2512_1_5e-05_0.01_8_16_0.1_probe-mid_224cc6d9/evals/math10_categoriesbalanced.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3b8926d4b3f563e2e7764a5a5c018e165870434b72d8b56f6a971d0af62f49a5
+size 2231961

models/default/unsloth_full/math4_categoriesbalanced_Ministral-3-8B-Instruct-2512_1_5e-05_0.01_8_16_0.1_probe-mid_224cc6d9/evals/math10_categoriesbalanced_metrics.json

@@ -0,0 +1,16 @@
+{
+  "train": {
+    "0.05": 0.19449074074074074,
+    "mse": 0.16279667295830724,
+    "corr_pred_acc": 0.6119615548163997,
+    "corr_pred_cons": 0.4732009263509599,
+    "corr_cons_acc": 0.7840494888576734
+  },
+  "test": {
+    "0.05": 0.04491666666666667,
+    "mse": 0.21383030774623027,
+    "corr_pred_acc": 0.4443936192621378,
+    "corr_pred_cons": 0.31354579498948515,
+    "corr_cons_acc": 0.7765149846370051
+  }
+}

models/default/unsloth_full/math4_categoriesbalanced_Ministral-3-8B-Instruct-2512_1_5e-05_0.01_8_16_0.1_probe-mid_224cc6d9/evals/math4_categoriesbalanced.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:29eac203a06bb85d70fe6e72bf2b98823eebb8217e6149bbab5ddbc792246b12
+size 2175763

models/default/unsloth_full/math4_categoriesbalanced_Ministral-3-8B-Instruct-2512_1_5e-05_0.01_8_16_0.1_probe-mid_224cc6d9/evals/math4_categoriesbalanced_metrics.json

@@ -0,0 +1,16 @@
+{
+  "train": {
+    "0.05": 0.5612685185185186,
+    "mse": 0.031694643556594716,
+    "corr_pred_acc": 0.7887304495473658,
+    "corr_pred_cons": 0.8258173581790907,
+    "corr_cons_acc": 0.8262173370528325
+  },
+  "test": {
+    "0.05": 0.23933333333333334,
+    "mse": 0.06050784951459248,
+    "corr_pred_acc": 0.5987128869053017,
+    "corr_pred_cons": 0.5871343827275272,
+    "corr_cons_acc": 0.7413780101508799
+  }
+}

models/default/unsloth_full/math4_categoriesbalanced_Ministral-3-8B-Instruct-2512_1_5e-05_0.01_8_16_0.1_probe-mid_224cc6d9/evals/medmcqa4_categoriesbalanced.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4f34c88ac91f21a9a63c5db12bac3a58de3d7f4d330f4a7c3b5e1f3ec0965bd9
+size 2216997

models/default/unsloth_full/math4_categoriesbalanced_Ministral-3-8B-Instruct-2512_1_5e-05_0.01_8_16_0.1_probe-mid_224cc6d9/evals/medmcqa4_categoriesbalanced_metrics.json

@@ -0,0 +1,16 @@
+{
+  "train": {
+    "0.05": 0.07926952743874377,
+    "mse": 0.1203503859225761,
+    "corr_pred_acc": 0.2341952474633853,
+    "corr_pred_cons": 0.2776455769492847,
+    "corr_cons_acc": 0.7940920538099924
+  },
+  "test": {
+    "0.05": 0.07630124556627897,
+    "mse": 0.12167683872266377,
+    "corr_pred_acc": 0.24205861209383683,
+    "corr_pred_cons": 0.28816489559132646,
+    "corr_cons_acc": 0.7938969141220498
+  }
+}

models/default/unsloth_full/math4_categoriesbalanced_Ministral-3-8B-Instruct-2512_1_5e-05_0.01_8_16_0.1_probe-mid_224cc6d9/evals/mmlupro10_categoriesbalanced.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d4259fd23b89462c260bdb47fe92fd7f03f1cd253ac6d97b01c8385cb02a7cbe
+size 206763

models/default/unsloth_full/math4_categoriesbalanced_Ministral-3-8B-Instruct-2512_1_5e-05_0.01_8_16_0.1_probe-mid_224cc6d9/evals/mmlupro10_categoriesbalanced_metrics.json

@@ -0,0 +1,16 @@
+{
+  "train": {
+    "0.05": 0.043339460191544936,
+    "mse": 0.19491126137034562,
+    "corr_pred_acc": 0.3638976289094213,
+    "corr_pred_cons": 0.45546306783379736,
+    "corr_cons_acc": 0.7696273171593441
+  },
+  "test": {
+    "0.05": 0.059900166389351084,
+    "mse": 0.1888001890326695,
+    "corr_pred_acc": 0.2371953304976448,
+    "corr_pred_cons": 0.3698420723338044,
+    "corr_cons_acc": 0.6876500519647822
+  }
+}

models/default/unsloth_full/math4_categoriesbalanced_Ministral-3-8B-Instruct-2512_1_5e-05_0.01_8_16_0.1_probe-mid_224cc6d9/evals/mmlupro4_categoriesbalanced.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:07ea2f2be25c5c8b8c215fa9e263a583188a908a9be6e83189a297aab423c474
+size 213349

models/default/unsloth_full/math4_categoriesbalanced_Ministral-3-8B-Instruct-2512_1_5e-05_0.01_8_16_0.1_probe-mid_224cc6d9/evals/mmlupro4_categoriesbalanced_metrics.json

@@ -0,0 +1,16 @@
+{
+  "train": {
+    "0.05": 0.06382779597566682,
+    "mse": 0.11112943175629555,
+    "corr_pred_acc": 0.33292466770113466,
+    "corr_pred_cons": 0.4077445520863599,
+    "corr_cons_acc": 0.7873737350063508
+  },
+  "test": {
+    "0.05": 0.08200636942675159,
+    "mse": 0.11498011615927656,
+    "corr_pred_acc": 0.2046532145218559,
+    "corr_pred_cons": 0.28811151123527534,
+    "corr_cons_acc": 0.7226516845672425
+  }
+}

models/default/unsloth_full/math4_categoriesbalanced_Ministral-3-8B-Instruct-2512_1_5e-05_0.01_8_16_0.1_probe-mid_224cc6d9/probe_meta.json

@@ -0,0 +1,9 @@
+{
+  "probe": "mid",
+  "n_layers_full": 34,
+  "n_layers_used": 17,
+  "hidden_size": 4096,
+  "model": "Ministral-3-8B-Instruct-2512",
+  "dataset": "math4_categoriesbalanced",
+  "lora_rank": 16
+}

models/default/unsloth_full/math4_categoriesbalanced_Ministral-3-8B-Instruct-2512_1_5e-05_0.01_8_8_0.1_probe-end_ea9259ce/checkpoint-0/evals/math4_categoriesbalanced.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f00221a96b727c89c46bde5916a18b15245219631a101ccf0292efcf9c23ceb4
+size 37971

models/default/unsloth_full/math4_categoriesbalanced_Ministral-3-8B-Instruct-2512_1_5e-05_0.01_8_8_0.1_probe-end_ea9259ce/checkpoint-0/evals/math4_categoriesbalanced_metrics.json

@@ -0,0 +1,16 @@
+{
+  "train_subset": {
+    "0.05": 0.024,
+    "mse": 0.12713518689287037,
+    "corr_pred_acc": 0.4943830873688647,
+    "corr_pred_cons": 0.5693117284861682,
+    "corr_cons_acc": 0.8156170019895868
+  },
+  "test": {
+    "0.05": 0.022,
+    "mse": 0.13982783782918357,
+    "corr_pred_acc": 0.20412767950892813,
+    "corr_pred_cons": 0.28618433288509404,
+    "corr_cons_acc": 0.7631662710739672
+  }
+}

models/default/unsloth_full/math4_categoriesbalanced_Ministral-3-8B-Instruct-2512_1_5e-05_0.01_8_8_0.1_probe-end_ea9259ce/checkpoint-0/probe_meta.json

@@ -0,0 +1,9 @@
+{
+  "probe": "end",
+  "n_layers_full": 34,
+  "n_layers_used": 34,
+  "hidden_size": 4096,
+  "model": "Ministral-3-8B-Instruct-2512",
+  "dataset": "math4_categoriesbalanced",
+  "lora_rank": 8
+}

models/default/unsloth_full/math4_categoriesbalanced_Ministral-3-8B-Instruct-2512_1_5e-05_0.01_8_8_0.1_probe-end_ea9259ce/checkpoint-1005/evals/math4_categoriesbalanced.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ce4c07c2dd5dd8af550c71a61e2b69a900dbe9681271c90edc292c4e532cccc4
+size 38163

models/default/unsloth_full/math4_categoriesbalanced_Ministral-3-8B-Instruct-2512_1_5e-05_0.01_8_8_0.1_probe-end_ea9259ce/checkpoint-1005/evals/math4_categoriesbalanced_metrics.json

@@ -0,0 +1,16 @@
+{
+  "train_subset": {
+    "0.05": 0.225,
+    "mse": 0.04701082094857384,
+    "corr_pred_acc": 0.7659977079361033,
+    "corr_pred_cons": 0.7658319066157016,
+    "corr_cons_acc": 0.8156170019895868
+  },
+  "test": {
+    "0.05": 0.155,
+    "mse": 0.053368383615259085,
+    "corr_pred_acc": 0.6684430943097902,
+    "corr_pred_cons": 0.6570097144477246,
+    "corr_cons_acc": 0.7631662710739672
+  }
+}

models/default/unsloth_full/math4_categoriesbalanced_Ministral-3-8B-Instruct-2512_1_5e-05_0.01_8_8_0.1_probe-end_ea9259ce/checkpoint-1005/probe_meta.json

@@ -0,0 +1,9 @@
+{
+  "probe": "end",
+  "n_layers_full": 34,
+  "n_layers_used": 34,
+  "hidden_size": 4096,
+  "model": "Ministral-3-8B-Instruct-2512",
+  "dataset": "math4_categoriesbalanced",
+  "lora_rank": 8
+}

models/default/unsloth_full/math4_categoriesbalanced_Ministral-3-8B-Instruct-2512_1_5e-05_0.01_8_8_0.1_probe-end_ea9259ce/checkpoint-1072/evals/math4_categoriesbalanced.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:60f232e2cbb7b037ad3fa9de709265edd3b662e033bd9069fd969317c4e5a713
+size 38035

models/default/unsloth_full/math4_categoriesbalanced_Ministral-3-8B-Instruct-2512_1_5e-05_0.01_8_8_0.1_probe-end_ea9259ce/checkpoint-1072/evals/math4_categoriesbalanced_metrics.json

@@ -0,0 +1,16 @@
+{
+  "train_subset": {
+    "0.05": 0.515,
+    "mse": 0.03570232153188671,
+    "corr_pred_acc": 0.8138344466601196,
+    "corr_pred_cons": 0.8244004116257146,
+    "corr_cons_acc": 0.8156170019895868
+  },
+  "test": {
+    "0.05": 0.299,
+    "mse": 0.05117246327121646,
+    "corr_pred_acc": 0.7090705008561649,
+    "corr_pred_cons": 0.7053452531750196,
+    "corr_cons_acc": 0.7631662710739672
+  }
+}

models/default/unsloth_full/math4_categoriesbalanced_Ministral-3-8B-Instruct-2512_1_5e-05_0.01_8_8_0.1_probe-end_ea9259ce/checkpoint-1072/probe_meta.json

@@ -0,0 +1,9 @@
+{
+  "probe": "end",
+  "n_layers_full": 34,
+  "n_layers_used": 34,
+  "hidden_size": 4096,
+  "model": "Ministral-3-8B-Instruct-2512",
+  "dataset": "math4_categoriesbalanced",
+  "lora_rank": 8
+}

models/default/unsloth_full/math4_categoriesbalanced_Ministral-3-8B-Instruct-2512_1_5e-05_0.01_8_8_0.1_probe-end_ea9259ce/checkpoint-1139/evals/math4_categoriesbalanced.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:fc3f88f510327c81fbf62d7b95ed519cfb9a2eb7d018db7af5709e65ba8bb7a8
+size 38227

models/default/unsloth_full/math4_categoriesbalanced_Ministral-3-8B-Instruct-2512_1_5e-05_0.01_8_8_0.1_probe-end_ea9259ce/checkpoint-1139/evals/math4_categoriesbalanced_metrics.json

@@ -0,0 +1,16 @@
+{
+  "train_subset": {
+    "0.05": 0.511,
+    "mse": 0.042062301215187226,
+    "corr_pred_acc": 0.8033751349855268,
+    "corr_pred_cons": 0.8509862540475565,
+    "corr_cons_acc": 0.8156170019895868
+  },
+  "test": {
+    "0.05": 0.15,
+    "mse": 0.06023737023371209,
+    "corr_pred_acc": 0.6956701237918684,
+    "corr_pred_cons": 0.7228250215615422,
+    "corr_cons_acc": 0.7631662710739672
+  }
+}

models/default/unsloth_full/math4_categoriesbalanced_Ministral-3-8B-Instruct-2512_1_5e-05_0.01_8_8_0.1_probe-end_ea9259ce/checkpoint-1139/probe_meta.json

@@ -0,0 +1,9 @@
+{
+  "probe": "end",
+  "n_layers_full": 34,
+  "n_layers_used": 34,
+  "hidden_size": 4096,
+  "model": "Ministral-3-8B-Instruct-2512",
+  "dataset": "math4_categoriesbalanced",
+  "lora_rank": 8
+}

models/default/unsloth_full/math4_categoriesbalanced_Ministral-3-8B-Instruct-2512_1_5e-05_0.01_8_8_0.1_probe-end_ea9259ce/checkpoint-1206/evals/math4_categoriesbalanced.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:42576066bc3ac487215c6b3bd07e438ff9ef49b99667bdfcb5b0e5a18f2fd078
+size 38099

models/default/unsloth_full/math4_categoriesbalanced_Ministral-3-8B-Instruct-2512_1_5e-05_0.01_8_8_0.1_probe-end_ea9259ce/checkpoint-1206/evals/math4_categoriesbalanced_metrics.json

@@ -0,0 +1,16 @@
+{
+  "train_subset": {
+    "0.05": 0.621,
+    "mse": 0.03463682751941771,
+    "corr_pred_acc": 0.8043355803723501,
+    "corr_pred_cons": 0.8151041865234976,
+    "corr_cons_acc": 0.8156170019895868
+  },
+  "test": {
+    "0.05": 0.48,
+    "mse": 0.04988546840539942,
+    "corr_pred_acc": 0.7051151337754212,
+    "corr_pred_cons": 0.6920517862554703,
+    "corr_cons_acc": 0.7631662710739672
+  }
+}

models/default/unsloth_full/math4_categoriesbalanced_Ministral-3-8B-Instruct-2512_1_5e-05_0.01_8_8_0.1_probe-end_ea9259ce/checkpoint-1206/probe_meta.json

@@ -0,0 +1,9 @@
+{
+  "probe": "end",
+  "n_layers_full": 34,
+  "n_layers_used": 34,
+  "hidden_size": 4096,
+  "model": "Ministral-3-8B-Instruct-2512",
+  "dataset": "math4_categoriesbalanced",
+  "lora_rank": 8
+}

models/default/unsloth_full/math4_categoriesbalanced_Ministral-3-8B-Instruct-2512_1_5e-05_0.01_8_8_0.1_probe-end_ea9259ce/checkpoint-1273/evals/math4_categoriesbalanced.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6673452f7835e9067cc173efbfb0b78c62b8b2773a6a417327883bbd355664a0
+size 37779

models/default/unsloth_full/math4_categoriesbalanced_Ministral-3-8B-Instruct-2512_1_5e-05_0.01_8_8_0.1_probe-end_ea9259ce/checkpoint-1273/evals/math4_categoriesbalanced_metrics.json

@@ -0,0 +1,16 @@
+{
+  "train_subset": {
+    "0.05": 0.616,
+    "mse": 0.07522467390810884,
+    "corr_pred_acc": 0.7547716006296983,
+    "corr_pred_cons": 0.6983790072466746,
+    "corr_cons_acc": 0.8156170019895868
+  },
+  "test": {
+    "0.05": 0.588,
+    "mse": 0.09283128504346286,
+    "corr_pred_acc": 0.6602759204125564,
+    "corr_pred_cons": 0.5667394374381556,
+    "corr_cons_acc": 0.7631662710739672
+  }
+}