Text Classification
Safetensors
PEFT
English
unsloth
multi-label-classification
email-classification
decision-model
lora
4-bit precision
Instructions to use Groktopus/Letterweave-1.0-E2B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Groktopus/Letterweave-1.0-E2B with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download training.json from Groktopus/Letterweave-1.0-E2B: direct link, hf CLI and curl.
- Browser
- Download file 3.95 kB
-
https://huggingface.co/Groktopus/Letterweave-1.0-E2B/resolve/main/training.json
- Command line
-
hf download hf://Groktopus/Letterweave-1.0-E2B/training.json
-
curl -L -o training.json https://huggingface.co/Groktopus/Letterweave-1.0-E2B/resolve/main/training.json
3.95 kB
| { | |
| "model_version": "1.0", | |
| "base_model": "unsloth/gemma-4-E2B-it-unsloth-bnb-4bit", | |
| "base_revision": "0ae102ac289cc3f17500a607ad817849778b8ba7", | |
| "dataset": "Groktopus/Letterweave-0.1.0", | |
| "source_revision": "0a91613a19bbf6f5591f91b26a23eeb5505bb038", | |
| "hardware": "1x NVIDIA GeForce RTX 5070 Ti,16GB,with co-resident GPU service", | |
| "recipe": { | |
| "seed": 3407, | |
| "max_seq_length": 2048, | |
| "rank": 16, | |
| "lora_alpha": 16, | |
| "batch_size": 1, | |
| "gradient_accumulation": 4, | |
| "optimizer": "adamw_8bit", | |
| "bf16": true, | |
| "offload_embedding": false, | |
| "memory_cap_fraction": 0.77, | |
| "steps": 240, | |
| "learning_rate": 0.0002, | |
| "head_learning_rate": "DecisionTrainer default 1e-4", | |
| "warmup_steps": 10, | |
| "scheduler": "cosine", | |
| "weight_decay": 0.01, | |
| "checkpoint": "last only; no early stopping or model selection" | |
| }, | |
| "trainer_metrics": { | |
| "train_runtime": 455.3567, | |
| "train_samples_per_second": 2.108, | |
| "train_steps_per_second": 0.527, | |
| "total_flos": 0.0, | |
| "train_loss": 0.20662410135070483, | |
| "epoch": 1.6701570680628273 | |
| }, | |
| "peak_allocated_mib": 8860.70556640625, | |
| "peak_reserved_mib": 8998.0, | |
| "device_residency": { | |
| "parameter_devices": { | |
| "cuda:0": 1110 | |
| }, | |
| "embedding_device": "cuda:0", | |
| "embedding_bytes": 805306368, | |
| "all_parameters_cuda": true, | |
| "quantized_linear_count": 129 | |
| }, | |
| "data_hashes": { | |
| "train.jsonl": { | |
| "sha256": "0e1ebf4a6340dd9d00a4e80a4e80127337066eaecf3fdd01a409ecf54069200f", | |
| "emails": 573, | |
| "binary_judgments": 4011, | |
| "families": 551, | |
| "positive_support": { | |
| "correspondence": 206, | |
| "transactions/records": 111, | |
| "alerts/updates": 208, | |
| "newsletters/publications": 41, | |
| "promotions/outreach": 90, | |
| "community/discussions": 116, | |
| "scheduling/invitations": 133 | |
| } | |
| }, | |
| "test.jsonl": { | |
| "sha256": "42c33ec5b27da39a94cce463768ba6ff760c16a35ac000c725bb89760ab3f6a8", | |
| "emails": 139, | |
| "binary_judgments": 973, | |
| "families": 133, | |
| "positive_support": { | |
| "correspondence": 43, | |
| "transactions/records": 29, | |
| "alerts/updates": 44, | |
| "newsletters/publications": 11, | |
| "promotions/outreach": 24, | |
| "community/discussions": 32, | |
| "scheduling/invitations": 35 | |
| } | |
| }, | |
| "development.jsonl": { | |
| "sha256": "5dcacd236f42a496fdaf1ca6d77f17bc616bd191b3d1321a01f4ad4f6b853fe0", | |
| "emails": 143, | |
| "binary_judgments": 1001, | |
| "families": 137, | |
| "positive_support": { | |
| "correspondence": 51, | |
| "transactions/records": 26, | |
| "alerts/updates": 51, | |
| "newsletters/publications": 14, | |
| "promotions/outreach": 25, | |
| "community/discussions": 22, | |
| "scheduling/invitations": 34 | |
| } | |
| } | |
| }, | |
| "runtime_versions": { | |
| "python": "3.11", | |
| "unsloth": "2026.10.3", | |
| "unsloth-zoo": "2026.10.3", | |
| "torch": "2.14.0+cu130", | |
| "transformers": "5.17.0", | |
| "bitsandbytes": "0.50.2", | |
| "peft": "0.21.2", | |
| "triton": "3.8.0" | |
| }, | |
| "checkpoint_verification": { | |
| "purpose": "same-test saved checkpoint replication, not independent quality evidence", | |
| "strict_probability_tolerance": 0.001, | |
| "status": "replication_completed", | |
| "all_parameters_cuda": true, | |
| "embedding_device": "cuda:0", | |
| "emails": 139, | |
| "binary_judgments": 973, | |
| "binary_correct": 945, | |
| "exact_set_correct": 112, | |
| "exact_set_agreement": 0.8057553956834532, | |
| "decision_flips": [], | |
| "decision_agreement": 1.0, | |
| "maximum_probability_difference": 0.002257678804533203, | |
| "cases_exceeding_strict_probability_tolerance": 11, | |
| "strict_probability_parity_passed": false | |
| }, | |
| "selection": "fixed final checkpoint, no early stopping, no threshold/prompt/model selection on test", | |
| "calibration": "a scalar temperature was fit on validation for analysis only; this release uses raw checkpoint temperatures1.0" | |
| } |