docs(card): regenerated from the current table and course
Browse files
README.md
CHANGED
|
@@ -27,7 +27,7 @@ Play against it in the browser: [https://rukh.borjaglez.com/?stage=tiny-int8](ht
|
|
| 27 |
|
| 28 |
## Results
|
| 29 |
|
| 30 |
-
Measured with `rukh eval --suite full` on 2026-09-
|
| 31 |
|
| 32 |
| Metric | Value |
|
| 33 |
|---|---|
|
|
@@ -36,7 +36,7 @@ Measured with `rukh eval --suite full` on 2026-09-20.
|
|
| 36 |
| Top-1 next move | 40.3 % |
|
| 37 |
| Top-3 next move | 67.1 % |
|
| 38 |
| Puzzles solved | 8.9 % |
|
| 39 |
-
| Estimated Elo |
|
| 40 |
|
| 41 |
Puzzles by difficulty band:
|
| 42 |
|
|
@@ -66,7 +66,7 @@ flattering or not.
|
|
| 66 |
| Bar | Target | Measured | Verdict |
|
| 67 |
|---|---|---|---|
|
| 68 |
| Legality without the mask, argmax | at least 99 % | 94.5 % | **not met** |
|
| 69 |
-
| Estimated Elo | at least 1200 |
|
| 70 |
|
| 71 |
**The legality bar is not met**: without the legality mask the weights propose an illegal move
|
| 72 |
more often than one time in a hundred. The demo masks before sampling and therefore never plays
|
|
@@ -98,23 +98,11 @@ Every stage was then re-evaluated on the measured ladder, and the numbers on thi
|
|
| 98 |
those runs. The correction moves all stages by a similar amount, so comparisons between them are
|
| 99 |
unchanged.
|
| 100 |
|
| 101 |
-
### An Elo belongs to the pair model+sampling
|
| 102 |
-
|
| 103 |
-
The same weights (`4591cf8cca0b`) measure **921 Elo** at
|
| 104 |
-
temperature 0.05, top-k 1 and **64 Elo** at temperature 0.6, top-k 20.
|
| 105 |
-
Nothing about the tensors changed between the two runs; only the way a move is drawn from them
|
| 106 |
-
did. A rating is therefore a property of the pair model+sampling and not of the file you
|
| 107 |
-
download, and any table that compares stages has to fix the sampling first.
|
| 108 |
-
|
| 109 |
-
The results above are the temperature 0.05, top-k 1 point. The demo samples for variety
|
| 110 |
-
rather than always playing its best move, so what a player meets over the board is the weaker of
|
| 111 |
-
the two numbers.
|
| 112 |
-
|
| 113 |
How to read these numbers:
|
| 114 |
|
| 115 |
- legality_argmax is the share of validation positions where the single most likely token is a legal move (no temperature, no top-k, no mask): this is the >= 99 % bar of GOAL.md. legality_sampled draws the token the way the demo does (temperature 0.05, top-k 1) and is always the lower of the two.
|
| 116 |
- the Elo interval covers sampling noise only: the four ``skill-*`` rungs are nominal ``Skill Level`` anchors rather than measured ratings, and Stockfish plays at 0.1 s per move, far below any setting ``UCI_Elo`` is calibrated for
|
| 117 |
-
-
|
| 118 |
|
| 119 |
|
| 120 |
## Input and output
|
|
@@ -174,38 +162,10 @@ weights are the same, the arithmetic is not.
|
|
| 174 |
## Training recipe
|
| 175 |
|
| 176 |
|
| 177 |
-
|
| 178 |
-
|
| 179 |
-
|
| 180 |
-
|
| 181 |
-
| `block` | `200` |
|
| 182 |
-
| `ckpt_every` | `1000` |
|
| 183 |
-
| `compile` | `True` |
|
| 184 |
-
| `data_manifest_sha` | `2274906c04342b8fc1632d3e1c3bff82e33f535936af742c7a7f9e4b052afa31` |
|
| 185 |
-
| `device` | `cuda` |
|
| 186 |
-
| `eval_batches` | `50` |
|
| 187 |
-
| `eval_every` | `250` |
|
| 188 |
-
| `grad_accum` | `2` |
|
| 189 |
-
| `grad_clip` | `1.0` |
|
| 190 |
-
| `log_every` | `10` |
|
| 191 |
-
| `lr` | `0.001` |
|
| 192 |
-
| `max_steps` | `6000` |
|
| 193 |
-
| `min_lr_ratio` | `0.1` |
|
| 194 |
-
| `model` | `None` |
|
| 195 |
-
| `num_params` | `5258752` |
|
| 196 |
-
| `out_dir` | `checkpoints` |
|
| 197 |
-
| `precision` | `bf16` |
|
| 198 |
-
| `preset` | `tiny` |
|
| 199 |
-
| `run_name` | `tiny` |
|
| 200 |
-
| `seed` | `42` |
|
| 201 |
-
| `tokens_dir` | `data/tokens/uci` |
|
| 202 |
-
| `unique_run_name` | `True` |
|
| 203 |
-
| `vocab_hash` | `527c5dda224cab570cb84da8f7dcda0f43fe53edaf86822f899568f5dd824b46` |
|
| 204 |
-
| `warmup` | `500` |
|
| 205 |
-
| `weight_decay` | `0.1` |
|
| 206 |
-
| `workers` | `4` |
|
| 207 |
-
|
| 208 |
-
MLflow run: `0a25dd056bfe4ca9b89204a6d75686f3`.
|
| 209 |
|
| 210 |
```json
|
| 211 |
{
|
|
@@ -257,6 +217,15 @@ converted from SAN to legal UCI. Validation uses a month the model never saw.
|
|
| 257 |
anchors rather than measured ratings, and games that run out of context are adjudicated on the
|
| 258 |
final position instead of being scored as draws.
|
| 259 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 260 |
## License
|
| 261 |
|
| 262 |
APACHE-2.0. The code and the weights are released under the Apache License 2.0;
|
|
|
|
| 27 |
|
| 28 |
## Results
|
| 29 |
|
| 30 |
+
Measured with `rukh eval --suite full` on 2026-09-21.
|
| 31 |
|
| 32 |
| Metric | Value |
|
| 33 |
|---|---|
|
|
|
|
| 36 |
| Top-1 next move | 40.3 % |
|
| 37 |
| Top-3 next move | 67.1 % |
|
| 38 |
| Puzzles solved | 8.9 % |
|
| 39 |
+
| Estimated Elo | 778 (95 % CI 479-904) |
|
| 40 |
|
| 41 |
Puzzles by difficulty band:
|
| 42 |
|
|
|
|
| 66 |
| Bar | Target | Measured | Verdict |
|
| 67 |
|---|---|---|---|
|
| 68 |
| Legality without the mask, argmax | at least 99 % | 94.5 % | **not met** |
|
| 69 |
+
| Estimated Elo | at least 1200 | 778 (95 % CI 479-904) | **not met** |
|
| 70 |
|
| 71 |
**The legality bar is not met**: without the legality mask the weights propose an illegal move
|
| 72 |
more often than one time in a hundred. The demo masks before sampling and therefore never plays
|
|
|
|
| 98 |
those runs. The correction moves all stages by a similar amount, so comparisons between them are
|
| 99 |
unchanged.
|
| 100 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 101 |
How to read these numbers:
|
| 102 |
|
| 103 |
- legality_argmax is the share of validation positions where the single most likely token is a legal move (no temperature, no top-k, no mask): this is the >= 99 % bar of GOAL.md. legality_sampled draws the token the way the demo does (temperature 0.05, top-k 1) and is always the lower of the two.
|
| 104 |
- the Elo interval covers sampling noise only: the four ``skill-*`` rungs are nominal ``Skill Level`` anchors rather than measured ratings, and Stockfish plays at 0.1 s per move, far below any setting ``UCI_Elo`` is calibrated for
|
| 105 |
+
- 1 of 160 games hit the context limit and were adjudicated (1 of them) instead of being scored as draws
|
| 106 |
|
| 107 |
|
| 108 |
## Input and output
|
|
|
|
| 162 |
## Training recipe
|
| 163 |
|
| 164 |
|
| 165 |
+
The MLflow run for this checkpoint was not available when the card was generated; the shape of
|
| 166 |
+
the model is in `config.json`.
|
| 167 |
+
|
| 168 |
+
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 169 |
|
| 170 |
```json
|
| 171 |
{
|
|
|
|
| 217 |
anchors rather than measured ratings, and games that run out of context are adjudicated on the
|
| 218 |
final position instead of being scored as draws.
|
| 219 |
|
| 220 |
+
## In the course
|
| 221 |
+
|
| 222 |
+
- Built in [M2 · El decoder: entrenarlo y medirlo](https://lab.rukh.borjaglez.com/curso/m2/02-entrenar-y-medir/), the lesson that runs every command behind this repository.
|
| 223 |
+
- Measured in the [single results table](https://lab.rukh.borjaglez.com/proyecto/) as the stage `tiny-greedy`: every stage of the course, the same suite, the same day.
|
| 224 |
+
- Play it in the browser: [https://rukh.borjaglez.com/?stage=tiny-int8](https://rukh.borjaglez.com/?stage=tiny-int8).
|
| 225 |
+
- Bring it to the paths the configs read: `uv run rukh pull tiny`.
|
| 226 |
+
|
| 227 |
+
|
| 228 |
+
|
| 229 |
## License
|
| 230 |
|
| 231 |
APACHE-2.0. The code and the weights are released under the Apache License 2.0;
|