Letterweave-1.1-E2B / training.json
magnus919's picture
Keep public benchmarks at general email-labeling level
ba26936 verified
Raw History Blame Contribute Delete
3.29 kB
{
"model_version": "1.1",
"dataset_version": "0.3.0",
"publication_status": "Owner-authorized release,2026-10-12",
"base_model": "unsloth/gemma-4-E2B-it-unsloth-bnb-4bit",
"base_revision": "0ae102ac289cc3f17500a607ad817849778b8ba7",
"hardware": "NVIDIA RTX 5070 Ti 16 GB",
"training": {
"seed": 3407,
"steps": 480,
"rank": 16,
"alpha": 16,
"learning_rate": 0.0002,
"batch": 1,
"accumulation": 4,
"ceiling_tokens": 8192,
"quantization": "4-bit bitsandbytes/BF16 computation",
"all_embeddings_cuda": true,
"checkpoint_selection": "fixed final step"
},
"train_runtime_seconds": 994.4827,
"peak_allocated_mib": 9582.927734375,
"peak_reserved_mib": 9720.0,
"data": {
"dataset_version": "0.3.0",
"question_ids": {
"correspondence": "purpose_0",
"transactions/records": "purpose_1",
"alerts/updates": "purpose_2",
"newsletters/publications": "purpose_3",
"promotions/outreach": "purpose_4",
"community/discussions": "purpose_5",
"scheduling/invitations": "purpose_6"
},
"question_contract": "unchanged v1.0 seven questions; generator/reviewer separately use policyv2",
"source_release_sha256": "9031ac556be403dc5325e65286e7eb282ae1aad69faa3982f0d629bea2d4350a",
"files": {
"train.jsonl": {
"sha256": "cf729e29570308f8c134297b75f51e84586b0f1c77e1b043d6c0949b12bcc41b",
"rows": 942
},
"test.jsonl": {
"sha256": "ccb17e9b31c0767f723016bb7e5ba69ac3c8467da777c806e216d328e3f31963",
"rows": 259
},
"development.jsonl": {
"sha256": "a72bb1c1c0f87d57266735c0502d2fe3b682b15d20d5e626465201cdb6c1ef68",
"rows": 270
}
},
"counts": {
"train": 942,
"test": 259,
"development": 270
},
"fresh_counts": {
"train": 187,
"test": 64,
"development": 62
},
"private_emails_in_training": 0,
"quality": "synthetic machine-label agreement, not human truth",
"source_terminal_failure_note": "3review401 failures preserved; only fully settled accepted records trained",
"source_release_sha256_note": "Frozen pre-publication training projection checksum; published core payload hashes below identify the identical trained rows and labels."
},
"private_emails_in_training": 0,
"boundary_policy_sha256": "88df2df8c3280ecee3c25c241bd67817324b8634eeff92134f2b2ab9a0e0c1b1",
"runner_sha256": "07c341bb7e54e4f799857263dba817056728a330d647462ebfe8a66dde5811da",
"checkpoint_verification": {
"decision_changes": 0,
"judgments": 1813,
"max_probability_delta": 0.0036415277772176013,
"all_parameters_cuda": true
},
"dataset_repo": "Groktopus/Letterweave-0.3.0",
"published_payload_hashes": {
"inputs.jsonl": "3658cf1a7f0f1c66eb28cfe1ac72315aadf271c2f99357b8d10055c3b1d229b4",
"labels.jsonl": "7be07d041cb86c4b24a44fdc4f24114d68fb79a7e619f9574101d0bdf5c9befc",
"provenance.jsonl": "2d774d3290af7e19eaf318e4476e8b85fd9f641f3cb0444a8301117e4e0cbfc2"
},
"published_dataset_manifest_sha256": "d667590e1d0cb90efdeb712e59e3e23d86f754412d5bad5850ba3aea0e0770d6",
"source_release_commit": "faf9018dec9eab493f315f1cbb0dc34dc71b69f1",
"dataset_revision": "b1c1be2b2470dbc6db6c0dbc7b394fa3b1ed853a"
}