D1A-E2B v0.1: one-epoch prototype on Gemma 4 E2B (from JohnP1/kev-gemma4-e2b)
Browse files- .gitattributes +1 -0
- README.md +22 -7
- adapter_config.json +51 -0
- adapter_model.safetensors +3 -0
- head.pt +3 -0
- provenance.json +96 -0
- result.json +2880 -0
- tokenizer.json +3 -0
- tokenizer_config.json +55 -0
- train.log +194 -0
- training_config.json +51 -0
- training_metrics.json +14 -0
.gitattributes
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@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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tokenizer.json filter=lfs diff=lfs merge=lfs -text
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README.md
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@@ -4,17 +4,32 @@ base_model: google/gemma-4-E2B
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base_model_relation: adapter
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library_name: peft
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pipeline_tag: text-classification
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tags: [d1a, decision-model, calibration, lora, gemma4,
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---
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# D1A-E2B
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**D1A** is a small decision model
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base_model_relation: adapter
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library_name: peft
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pipeline_tag: text-classification
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tags: [d1a, decision-model, calibration, lora, gemma4, typesafe, system-one]
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---
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# D1A-E2B
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**D1A** is a small open decision model in the Jev style: one document and a set of typed questions in, a calibrated probability for every option out, in one forward pass, with no text generation. It speaks the same System One API as Jev, so the TypeSafe SDK works against it unchanged.
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This checkpoint is a LoRA adapter plus a pointer head on `google/gemma-4-E2B` (revision `d29ff6b4`), calibrated with a temperature of 1.48.
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| | D1A-E2B (this checkpoint, 1 epoch) | Jev (TypeSafe, hosted) |
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|---|---|---|
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| Accuracy, trained sources (dev) | 0.794 | 0.845 |
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| Accuracy, new sources (dev) | 0.569 | 0.857 |
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| Where it runs | your machine (Apple GPU / NVIDIA), free, private | TypeSafe's cloud API |
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Measured on the same frozen evaluation sets (development partitions; the locked test was not read). Jev is more accurate today; this is a one-epoch prototype, and a two-epoch model is training. Tag `v0.1-1epoch` keeps this version.
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- Playground (nine live use cases): https://github.com/jonpol01/d1a-playground
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- Code: https://github.com/jonpol01/d1a
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## Serve it
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```bash
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uv run --extra serve python -m kev.serve --run JohnP1/d1a-e2b --port 8009 # from github.com/jonpol01/kev; D1A's own server (d1a.serve) is on the way
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```
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## License
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Apache-2.0. Base model: Gemma 4 by Google (Apache-2.0). Training and serving code: github.com/jonpol01/d1a, built on Kev by Jared Palmer (Apache-2.0).
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adapter_config.json
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{
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"alora_invocation_tokens": null,
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"alpha_pattern": {},
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"arrow_config": null,
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"auto_mapping": null,
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"bias": "none",
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"corda_config": null,
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"ensure_weight_tying": false,
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"eva_config": null,
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"fan_in_fan_out": false,
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"inference_mode": true,
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"init_lora_weights": true,
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"loftq_config": {},
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"lora_alpha": 32,
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"lora_bias": false,
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"lora_dropout": 0.05,
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"lora_ga_config": null,
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"megatron_core": "megatron.core",
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"monteclora_config": null,
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"peft_type": "LORA",
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"peft_version": "0.21.0",
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"qalora_group_size": 16,
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"r": 16,
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"up_proj",
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"q_proj",
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"k_proj",
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"gate_proj",
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"down_proj",
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"v_proj",
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"o_proj"
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],
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"target_parameters": null,
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"task_type": "FEATURE_EXTRACTION",
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"trainable_token_indices": null,
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"use_bdlora": null,
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"use_dora": false,
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"use_qalora": false,
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"use_rslora": false,
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"velora_config": null
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}
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adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:93a489ba6fd4eddb766e9f9bbd70fbec04babe33c7ecd3925f5f9973e325410a
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size 96684752
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head.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:20353fb397f0e4383f002a921eb1dd431b22b3ad6782ba4b99c74edab5d13429
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size 3152383
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provenance.json
ADDED
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@@ -0,0 +1,96 @@
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{
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"config": {
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"kev/jev.py": "acd4cc3f1844e438cc83a8d409c15ef78a5ef64d39ea10f583d75a6c7646b243",
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| 79 |
+
"kev/metrics.py": "dba8d90550999edcd642581fb4da0367bd4b39d08471815184fa732d11e137b9",
|
| 80 |
+
"kev/mlx_model.py": "f582428796faf6bf962b772a69a6227ac3259ccbd3215c0c8b55ce28dbbd0909",
|
| 81 |
+
"kev/model.py": "c2129026ab56395f78c7d3071410541d5423dd7d97f7371518570572f206c376",
|
| 82 |
+
"kev/plot.py": "0874bcff2885d8155a1cceade0de8a275a7163d3c3fd6aa0c294e8ccf5ff7e02",
|
| 83 |
+
"kev/predictors.py": "b2a66dd9f0f0a8026bc94603383bacfdd622e75d1c935173997175606626a9b3",
|
| 84 |
+
"kev/publish.py": "8abc9bcf4a01365697b05cf3c5ad0013462bd92d005f5616954e40ab1100c7aa",
|
| 85 |
+
"kev/serve.py": "c210b1f4598e64b49c399f73603ed372f4314c165ceda50e1340c0466ec1c735",
|
| 86 |
+
"kev/study_v3.py": "7891150aa623e4479c7c789d4dc4662f186132b37b7bac1e1f072b9e08ee13e3",
|
| 87 |
+
"kev/suite.py": "d18d5f4f02d079344d61c2a31882c524c90012ebfdb660bf9160e145f37e3d42",
|
| 88 |
+
"kev/train.py": "e103e99d3a68ab99eb58f135320fbc46b18514fcc2b195d1c6879633836e99b9",
|
| 89 |
+
"kev/transfer_v9.py": "0902409742151250a28af1fd8f42258b70fcc161f3deed3ee35fe3f473f3c763",
|
| 90 |
+
"modal_app.py": "7a13e9d29b3fc68f8236a0c1e4d67079b40a2a328a296f7ced1022817dff82aa",
|
| 91 |
+
"pyproject.toml": "7c17fbe9efcadda3eb488b59adf1b6db5938cd33af4d3bd389ce4359b73fcc7d",
|
| 92 |
+
"uv.lock": "a9922dbb89acdef78299fd2b4a8c3f7f0fa1b2bc08b55595b6926fa785a9c466"
|
| 93 |
+
},
|
| 94 |
+
"resumed_with_changed_non_evaluator_files": [],
|
| 95 |
+
"resumed_git_commit": "ccd6e8b646068a6689792d76e3cae3698e9a015a"
|
| 96 |
+
}
|
result.json
ADDED
|
@@ -0,0 +1,2880 @@
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"platform": "HF Jobs l4x1 (job 6ab426ec52d0dbd7f1d86bac)",
|
| 2789 |
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|
| 2790 |
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"device": "cuda",
|
| 2791 |
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|
| 2792 |
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"legacy_checkpoint": false,
|
| 2793 |
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"measured_checkpoint": {
|
| 2794 |
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"requested": "runs/g4-e2b-e1-fp32/00-trial-0/checkpoint",
|
| 2795 |
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| 2799 |
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| 2800 |
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|
| 2801 |
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|
| 2802 |
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| 2803 |
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|
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|
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|
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| 2817 |
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"kev/metrics.py": "dba8d90550999edcd642581fb4da0367bd4b39d08471815184fa732d11e137b9",
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| 2819 |
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| 2820 |
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"kev/model.py": "c2129026ab56395f78c7d3071410541d5423dd7d97f7371518570572f206c376",
|
| 2821 |
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"kev/plot.py": "0874bcff2885d8155a1cceade0de8a275a7163d3c3fd6aa0c294e8ccf5ff7e02",
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"kev/predictors.py": "b2a66dd9f0f0a8026bc94603383bacfdd622e75d1c935173997175606626a9b3",
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|
| 2824 |
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|
| 2825 |
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| 2826 |
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| 2827 |
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| 2828 |
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|
| 2829 |
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| 2830 |
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| 2831 |
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|
| 2832 |
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},
|
| 2833 |
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|
| 2834 |
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|
| 2835 |
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| 2836 |
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|
| 2837 |
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|
| 2838 |
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|
| 2839 |
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|
| 2840 |
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|
| 2841 |
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"passed": true
|
| 2842 |
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},
|
| 2843 |
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|
| 2844 |
+
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|
| 2845 |
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"checks": {
|
| 2846 |
+
"complete_coverage": true,
|
| 2847 |
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"isolation_and_packing": true,
|
| 2848 |
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"transfer_complete": true,
|
| 2849 |
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"heldout_pairs_at_least_70pct": false,
|
| 2850 |
+
"transfer_confident_errors_below_10pct": true
|
| 2851 |
+
},
|
| 2852 |
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"policy": "Research screening only: 0.001 isolation; 5pp task regression; 70% heldout pair correctness; <=10% confident errors; no automatic release."
|
| 2853 |
+
},
|
| 2854 |
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"calibration_fit": {
|
| 2855 |
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"temperature": 1.319507910772894,
|
| 2856 |
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"aggregation": "micro",
|
| 2857 |
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"objective": "raw-logit NLL",
|
| 2858 |
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"split": "calibration",
|
| 2859 |
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"rows_sha256": "e8e669ff8b32eca59da46675dbd5a5ec138895480cdd475ed499f8d58249c0a2",
|
| 2860 |
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|
| 2861 |
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"n": 1148
|
| 2862 |
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},
|
| 2863 |
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"wall_seconds": 1409.0520514999516,
|
| 2864 |
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|
| 2865 |
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|
| 2866 |
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"training_resources": {
|
| 2867 |
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|
| 2868 |
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"records_seen": 15142,
|
| 2869 |
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|
| 2870 |
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|
| 2871 |
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|
| 2872 |
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|
| 2873 |
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|
| 2874 |
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"peak_device_bytes": 14623992320,
|
| 2875 |
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"device": "cuda",
|
| 2876 |
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"dtype": "bf16",
|
| 2877 |
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"batch": 4,
|
| 2878 |
+
"peak_rss_bytes": 11216687104
|
| 2879 |
+
}
|
| 2880 |
+
}
|
tokenizer.json
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
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|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
+
oid sha256:12bac982b793c44b03d52a250a9f0d0b666813da566b910c24a6da0695fd11e6
|
| 3 |
+
size 32170070
|
tokenizer_config.json
ADDED
|
@@ -0,0 +1,55 @@
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"audio_token": "<|audio|>",
|
| 3 |
+
"backend": "tokenizers",
|
| 4 |
+
"boa_token": "<|audio>",
|
| 5 |
+
"boi_token": "<|image>",
|
| 6 |
+
"bos_token": "<bos>",
|
| 7 |
+
"eoa_token": "<audio|>",
|
| 8 |
+
"eoc_token": "<channel|>",
|
| 9 |
+
"eoi_token": "<image|>",
|
| 10 |
+
"eos_token": "<eos>",
|
| 11 |
+
"eot_token": "<turn|>",
|
| 12 |
+
"escape_token": "<|\"|>",
|
| 13 |
+
"etc_token": "<tool_call|>",
|
| 14 |
+
"etd_token": "<tool|>",
|
| 15 |
+
"etr_token": "<tool_response|>",
|
| 16 |
+
"extra_special_tokens": [
|
| 17 |
+
"<|video|>"
|
| 18 |
+
],
|
| 19 |
+
"image_token": "<|image|>",
|
| 20 |
+
"is_local": false,
|
| 21 |
+
"local_files_only": false,
|
| 22 |
+
"mask_token": "<mask>",
|
| 23 |
+
"model_max_length": 1000000000000000019884624838656,
|
| 24 |
+
"model_specific_special_tokens": {
|
| 25 |
+
"audio_token": "<|audio|>",
|
| 26 |
+
"boa_token": "<|audio>",
|
| 27 |
+
"boi_token": "<|image>",
|
| 28 |
+
"eoa_token": "<audio|>",
|
| 29 |
+
"eoc_token": "<channel|>",
|
| 30 |
+
"eoi_token": "<image|>",
|
| 31 |
+
"eot_token": "<turn|>",
|
| 32 |
+
"escape_token": "<|\"|>",
|
| 33 |
+
"etc_token": "<tool_call|>",
|
| 34 |
+
"etd_token": "<tool|>",
|
| 35 |
+
"etr_token": "<tool_response|>",
|
| 36 |
+
"image_token": "<|image|>",
|
| 37 |
+
"soc_token": "<|channel>",
|
| 38 |
+
"sot_token": "<|turn>",
|
| 39 |
+
"stc_token": "<|tool_call>",
|
| 40 |
+
"std_token": "<|tool>",
|
| 41 |
+
"str_token": "<|tool_response>",
|
| 42 |
+
"think_token": "<|think|>"
|
| 43 |
+
},
|
| 44 |
+
"pad_token": "<pad>",
|
| 45 |
+
"padding_side": "left",
|
| 46 |
+
"processor_class": "Gemma4Processor",
|
| 47 |
+
"soc_token": "<|channel>",
|
| 48 |
+
"sot_token": "<|turn>",
|
| 49 |
+
"stc_token": "<|tool_call>",
|
| 50 |
+
"std_token": "<|tool>",
|
| 51 |
+
"str_token": "<|tool_response>",
|
| 52 |
+
"think_token": "<|think|>",
|
| 53 |
+
"tokenizer_class": "GemmaTokenizer",
|
| 54 |
+
"unk_token": "<unk>"
|
| 55 |
+
}
|
train.log
ADDED
|
@@ -0,0 +1,194 @@
|
|
|
|
|
|
|
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|
|
|
|
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|
| 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 |
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|
| 30 |
+
|
| 31 |
+
device=cuda trainable params=24.9M
|
| 32 |
+
|
| 33 |
+
|
| 34 |
+
|
| 35 |
+
fetched v7/decision-v7/train.jsonl from jaredpalmer/kev-suites@a88f56db53
|
| 36 |
+
dropped 70 of 12576 records that exceed the training context (384 state / 960 branch / 2048 packed tokens)
|
| 37 |
+
12506 training requests (holdout=[]), questions by type {'score': 3448, 'noul': 5224, 'choice': 6834}
|
| 38 |
+
ep0 step 10/1564 loss 2.494 kl 0.000 anchor 0.000 0.444s/rec
|
| 39 |
+
ep0 step 20/1564 loss 2.089 kl 0.000 anchor 0.000 0.383s/rec
|
| 40 |
+
ep0 step 30/1564 loss 1.886 kl 0.000 anchor 0.000 0.358s/rec
|
| 41 |
+
ep0 step 40/1564 loss 2.217 kl 0.000 anchor 0.000 0.383s/rec
|
| 42 |
+
ep0 step 50/1564 loss 1.778 kl 0.000 anchor 0.000 0.382s/rec
|
| 43 |
+
ep0 step 60/1564 loss 1.879 kl 0.000 anchor 0.000 0.377s/rec
|
| 44 |
+
ep0 step 70/1564 loss 1.540 kl 0.000 anchor 0.000 0.356s/rec
|
| 45 |
+
ep0 step 80/1564 loss 1.700 kl 0.000 anchor 0.000 0.363s/rec
|
| 46 |
+
ep0 step 90/1564 loss 1.608 kl 0.000 anchor 0.000 0.357s/rec
|
| 47 |
+
ep0 step 100/1564 loss 1.627 kl 0.000 anchor 0.000 0.355s/rec
|
| 48 |
+
ep0 step 110/1564 loss 1.473 kl 0.000 anchor 0.000 0.348s/rec
|
| 49 |
+
ep0 step 120/1564 loss 1.457 kl 0.000 anchor 0.000 0.347s/rec
|
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| 194 |
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saved runs/g4-e2b-e1
|
training_config.json
ADDED
|
@@ -0,0 +1,51 @@
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| 1 |
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{
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| 3 |
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| 4 |
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|
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| 22 |
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|
| 23 |
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| 24 |
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|
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|
| 26 |
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| 37 |
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| 41 |
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| 50 |
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|
training_metrics.json
ADDED
|
@@ -0,0 +1,14 @@
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