Text Classification
Safetensors
English
unsloth
decision-model
email-classification
multilabel-classification
gemma-4
lora
Instructions to use Groktopus/Letterweave-1.1-E2B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Local Apps Settings
- Unsloth Desktop
Download training.json from Groktopus/Letterweave-1.1-E2B: direct link, hf CLI and curl.
- Browser
- Download file 3.29 kB
-
https://huggingface.co/Groktopus/Letterweave-1.1-E2B/resolve/main/training.json
- Command line
-
hf download hf://Groktopus/Letterweave-1.1-E2B/training.json
-
curl -L -o training.json https://huggingface.co/Groktopus/Letterweave-1.1-E2B/resolve/main/training.json
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" | |
| } |