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4078) from run qwen35_2b_full_small_lr_short_form_prompt.Qwen/Qwen3.5-2B on AmbigQA.step=1620, epoch=3).sewon/ambig_qa (config_name=light)6e667596df70f17ba3c8e7be4b7361f6be8b60f8train, validation=validationdev_fraction=0.1, split_seed=1729FalseYou answer open-domain factoid questions with a short-form answer only.
Reply with just the answer string: typically a name, place, organization, title, date, number, or brief factual phrase (often about 1–4 words). Do not write a sentence, explanation, or preamble.
Examples of the expected style:
- Who painted The Persistence of Memory? → Salvador Dalí
- When was the first iPhone released in the United States? → June 29, 2007
- What is the capital of New Zealand? → Wellington
- Who wrote Pride and Prejudice? → Jane Austen
- What is the chemical symbol for gold? → Au
- Who directed the 1994 film Pulp Fiction? → Quentin Tarantino
Formatting rules:
- Output the answer alone on a single line.
- Do not restate the question, add reasoning, markdown, bullets, or quotation marks around the answer.
- Prefer a canonical short form over a descriptive sentence.
- Give one answer only; do not list alternatives or hedge.
- Use natural short forms for dates and names (e.g. June 29, 2007; Jane Austen).resolved_config.yaml):1model:
2 name: Qwen/Qwen3.5-2B
3 revision: main
4 dtype: bfloat16
5 enable_thinking: false
6dataset:
7 name: sewon/ambig_qa
8 config_name: light
9 revision: 6e667596df70f17ba3c8e7be4b7361f6be8b60f8
10 train_split: train
11 validation_split: validation
12 dev_fraction: 0.1
13 split_seed: 1729
14 bootstrap: false
15 max_train_examples: null
16 max_dev_examples: null
17 system_prompt_set: true
18adaptation:
19 method: full
20training:
21 num_train_epochs: 3.0
22 max_steps: -1
23 learning_rate: 2.0e-05
24 weight_decay: 0.1
25 warmup_ratio: 0.03
26 per_device_train_batch_size: 4
27 per_device_eval_batch_size: 16
28 gradient_accumulation_steps: 8
29 max_seq_length: 512
30 logging_steps: 10
31 save_every_steps: null
32 save_total_limit: null
33 gradient_checkpointing: true
34 bf16: true
35 tf32: true
36 max_grad_norm: 1.0
37 dataloader_num_workers: 2
38 adam_beta1: 0.9
39 adam_beta2: 0.999
40 adam_epsilon: 1.0e-08
41ensemble:
42 size: 5
43 base_seed: 42
44 this_member_index: 4
45 this_member_seed: 4078
46evaluation_subsets:
47 ambigqa:
48 subset_size: 128
49 seed: 1001
50 ifeval:
51 subset_size: 64
52 seed: 1002
53 mmlu:
54 subset_size: 228
55 seed: 1004| member | seed | steps | epochs | train_loss | AmbigQA acc | AmbigQA AlignScore | IFEval strict | MMLU acc |
|---|---|---|---|---|---|---|---|---|
| 0 | 42 | 1620 | 3 | 1.1190 | 0.0859 | 0.1550 | 0.4062 | 0.5965 |
| 1 | 1051 | 1620 | 3 | 1.1222 | 0.0781 | 0.1438 | 0.4375 | 0.5307 |
| 2 | 2060 | 1620 | 3 | 1.1131 | 0.0859 | 0.1466 | 0.4844 | 0.5921 |
| 3 | 3069 | 1620 | 3 | 1.1176 | 0.0859 | 0.1485 | 0.4531 | 0.5263 |
| 4 (this repo) | 4078 | 1620 | 3 | 1.1216 | 0.0781 | 0.1249 | 0.5156 | 0.5877 |
members/member_004/final/resolved_config.yaml — full resolved training configensemble_metrics.png — train/eval curves for the whole ensemble