File size: 2,726 Bytes
5992e42 | 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 | ---
license: apache-2.0
tags:
- baseweight-benchmark
- benchmark
- predictions
---
# Baseweight Benchmark — Raw Predictions
Every model generation produced during evaluation for the
[Baseweight Benchmark](https://baseweight.co/benchmark), a reproducible
comparison of fine-tuned open models against frontier APIs on focused vertical
tasks.
## What's here
One JSONL file per model × task × condition × seed. Each line is one
prediction:
| Field | Description |
|---|---|
| `id` | Row identifier from the prepared test split |
| `model` | Model short name (`qwen3-8b`, `gpt-5.4-mini`) |
| `condition` | `lora`, `zero-shot`, or `5-shot` |
| `eval_seed` | Seed used for this eval run (0, 1, or 2) |
| `prompt_sha` | SHA-256 prefix of the prompt template used |
| `input` | The text input sent to the model |
| `output` | The raw model output |
| `ground_truth` | Gold label or answer |
| `input_tokens` | Prompt token count |
| `output_tokens` | Completion token count |
| `avg_logprob` | Mean log-probability of output tokens |
| `timestamp` | UTC time of the generation |
## File layout
```
predictions/
local/
qwen3-8b/
banking77/ lora.jsonl lora_seed1.jsonl lora_seed2.jsonl
zero-shot.jsonl zero-shot_seed1.jsonl zero-shot_seed2.jsonl
5-shot.jsonl 5-shot_seed1.jsonl 5-shot_seed2.jsonl
cuad/ lora.jsonl lora_seed1.jsonl lora_seed2.jsonl
zero-shot.jsonl zero-shot_seed1.jsonl zero-shot_seed2.jsonl
api/
gpt-5.4-mini/
banking77/ zero-shot.jsonl zero-shot_seed1.jsonl zero-shot_seed2.jsonl
5-shot.jsonl 5-shot_seed1.jsonl 5-shot_seed2.jsonl
cuad/ zero-shot.jsonl zero-shot_seed1.jsonl zero-shot_seed2.jsonl
```
Seeds 1 and 2 are independent re-evaluations with shuffled test order.
Seed 0 is the base run (file without seed suffix). Reported metrics are the
mean across all three seeds; 95% CIs are bootstrap intervals over the seeds.
## Verifying the numbers
Download any JSONL, recompute the metric against `ground_truth`, and compare
to the value in `results.json` on the benchmark site. The `prompt_sha` field
lets you confirm the exact prompt template used.
## Links
- Benchmark site: [baseweight.co/benchmark](https://baseweight.co/benchmark)
- Pipeline code: [github.com/baseweight-ai/benchmark](https://github.com/baseweight-ai/benchmark)
- Prepared data splits: [baseweight-ai/baseweight-benchmark-data](https://huggingface.co/datasets/baseweight-ai/baseweight-benchmark-data)
- Fine-tuned adapters: [baseweight-ai/baseweight-benchmark-adapters](https://huggingface.co/collections/baseweight-ai/baseweight-benchmark-adapters-6a1613a5bee5213ab5e44936)
|