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F1 0.7753 @ 2026-07-07T02:33:14

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Files changed (5) hide show
  1. README.md +18 -18
  2. best_model.pt +1 -1
  3. eval_metrics.json +785 -239
  4. model_meta.json +34 -34
  5. training_report.png +2 -2
README.md CHANGED
@@ -10,18 +10,18 @@ a variable-size selection instead of a fixed top-k.
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  ![training report](training_report.png)
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- ## Test metrics (threshold 0.884)
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- micro-P **0.8281** · micro-R **0.7294** ·
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- micro-F1 **0.7756** · exact-set **0.1316** ·
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- best epoch 13
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  | bench | groups | P | R | F1 |
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  |---|---|---|---|---|
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- | gold_easy | 2 | 1.0 | 0.375 | 0.5455 |
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- | gold_medium | 2 | 0.975 | 0.975 | 0.975 |
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- | gold_hard | 5 | 0.9667 | 0.9667 | 0.9667 |
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- | llm_held_out | 29 | 0.5085 | 0.375 | 0.4317 |
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  `gold_*` tiers are hand-curated deterministic labels (easy = section how-to,
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  medium = single-doc, hard = table/matrix incl. reverse lookups); rephrasing
@@ -32,17 +32,17 @@ types. `llm_held_out` is strict generalization on unseen questions.
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  ```json
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- "avg_candidates_per_train_group": 23.2,
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  "avg_pass_per_train_group": 4.7
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  }
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  ```
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- Trained 2026-07-06T19:32:57 · source: https://github.com/s3777091/recursive_models
 
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  ![training report](training_report.png)
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+ ## Test metrics (threshold 0.942)
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+ micro-P **0.9345** · micro-R **0.6624** ·
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+ micro-F1 **0.7753** · exact-set **0.2** ·
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+ best epoch 53
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  | bench | groups | P | R | F1 |
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  |---|---|---|---|---|
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+ | gold_easy | 9 | 0.8571 | 0.2069 | 0.3333 |
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+ | gold_medium | 2 | 1.0 | 0.9211 | 0.9589 |
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+ | gold_hard | 5 | 1.0 | 0.9667 | 0.9831 |
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+ | llm_held_out | 29 | 0.7436 | 0.3625 | 0.4874 |
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  `gold_*` tiers are hand-curated deterministic labels (easy = section how-to,
27
  medium = single-doc, hard = table/matrix incl. reverse lookups); rephrasing
 
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  ```json
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  {
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+ "gold_train_groups": 48,
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  }
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  ```
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+ Trained 2026-07-07T02:33:14 · source: https://github.com/s3777091/recursive_models
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