File size: 2,892 Bytes
679c4f3
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
{
  "version_tag": "v1",
  "base_model": "unsloth/gemma-3-270m-it",
  "epochs": 3,
  "learning_rate": 0.0002,
  "lora_r": 16,
  "lora_alpha": 32,
  "lora_dropout": 0.0,
  "batch_size": 8,
  "grad_accum": 2,
  "warmup_ratio": 0.05,
  "seed": 3407,
  "max_seq_len": 640,
  "max_new_tokens": 384,
  "train_examples": 1334,
  "corrections": 0,
  "train_seconds": 564.4,
  "gpu": "Tesla T4",
  "platform": "kaggle",
  "dataset_manifest": {
    "version_tag": "v1",
    "created": "2026-09-30T21:42:39",
    "git_sha": null,
    "counts": {
      "train.jsonl": 1334,
      "val.jsonl": 150,
      "exam.jsonl": 150,
      "exam_hard.jsonl": 30,
      "fewshot.jsonl": 3
    },
    "corrections": 0,
    "sha256": {
      "catalog.json": "b354cf4e5b81f6be80c5071c0961b0ee79c9c8f9cec86bd4e0102f819e22c021",
      "customers.json": "b650b859b37bd2c3c33c703aaea9e227cf186558789e7e88f5fd53b7352a1bef",
      "dataset-metadata.json": "b483500aa344633dc1614e132d976cee59073c4c91003f0977f3c71ecf19a875",
      "equipment.json": "91e341753fee46d62b9444747d177a670b308999743de1fddd6079a596c56e2c",
      "evallib/__init__.py": "ec38b6ac328f58d03f3425148201628598e7521691faf7d34a1c326e7d7aa8f8",
      "evallib/metrics.py": "7bef5b64f15ba6fc0ba877daa6d57294da373061543c984023af9c59edce5a37",
      "evallib/normalize.py": "0c663091219f7a14baa37307863c8ea9e066b87e46f045abc38e3176f13069a3",
      "evallib/pricing.json": "782918cf5cdbf2b69d85873028e0bfa9bbafc89cda6828cb9c933ca3bdf96f5f",
      "evallib/prompt.py": "521bdb70ba03d77436c32b82edf3a7a8f6f44b0ccadade37416ec3db786ffdad",
      "evallib/runner.py": "3992d9971ab4d21c707964650fb5d09e98123a4adabb329160a8d8eacebec744",
      "evallib/schema.py": "eec543089b10c394dec74de147b2b238337657c037f69e72caa48244a482e27e",
      "evallib/system_prompt.txt": "fc0d3583b99fc4dfe3ec3b42f5fe3bfbabbccc23f9aec7edc3771eea5adbbc03",
      "evallib/teacher_rules.txt": "20d48a4ea874fa5c3f0c5eb69e81f4796aaa6dae40ffc89bb30eeca3b232633d",
      "exam.jsonl": "dc1100cffd0bbdfd8089f0841f455f753eae50ad6fcd11ba2ad1dca830287584",
      "exam_hard.jsonl": "bea23f278853cf5b6803df77e2b87cd62175333f8dec3235c779d4c9d4852bd0",
      "fewshot.jsonl": "f4d148125fe418cd0735e20f326d3df4a2319e8084abebd4eee371c6bc34db91",
      "orders.json": "37dea4e9b8026315814840acf0cd4557d921c4e5b30bf856def22c01e99a285c",
      "train.jsonl": "63578645ec0a3d53de85255a888d8855710b218e31a4bf095e568e4473eda33f",
      "val.jsonl": "e723c6a8ac3fb82f1a6ce411274f8e0bb7c1be2f4fa3e2b52f8831bddf81c060"
    }
  },
  "versions": {
    "torch": "2.10.0+cu128",
    "transformers": "4.56.2",
    "trl": "0.22.2",
    "peft": "0.19.1",
    "unsloth": "2026.9.12",
    "unsloth_zoo": "2026.9.8",
    "datasets": "4.3.0",
    "accelerate": "1.13.0"
  },
  "final_train_loss": 0.12306493408386669,
  "eval_loss_per_epoch": [
    0.086934395134449,
    0.03893920034170151,
    0.030055643990635872
  ]
}