Text Classification
PEFT
Safetensors
Portuguese
decision-model
typed-decisions
calibration
lora
european-portuguese
pt-pt
Instructions to use TigreGotico/jevasio-4b-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use TigreGotico/jevasio-4b-v2 with PEFT:
from peft import PeftModel from transformers import AutoModel base_model = AutoModel.from_pretrained("Qwen/Qwen3.5-4B-Base") model = PeftModel.from_pretrained(base_model, "TigreGotico/jevasio-4b-v2") - Notebooks
- Google Colab
- Kaggle
Download training_config.json from TigreGotico/jevasio-4b-v2: direct link, hf CLI and curl.
- Browser
- Download file 2.05 kB
-
https://huggingface.co/TigreGotico/jevasio-4b-v2/resolve/main/training_config.json
- Command line
-
hf download hf://TigreGotico/jevasio-4b-v2/training_config.json
-
curl -L -o training_config.json https://huggingface.co/TigreGotico/jevasio-4b-v2/resolve/main/training_config.json
2.05 kB
| { | |
| "args": { | |
| "base": "Qwen/Qwen3.5-4B-Base", | |
| "n_per_source": 1000, | |
| "epochs": 1, | |
| "lr": 2e-05, | |
| "head_lr": 0.0, | |
| "weight_decay": 0.01, | |
| "lora": 16, | |
| "accum": 2, | |
| "holdout": "", | |
| "perm_kl": 0.0, | |
| "perm_frac": 0.3, | |
| "ord_w": 0.0, | |
| "label_smoothing": 0.0, | |
| "brier_w": 0.0, | |
| "focal_gamma": 0.0, | |
| "suite": "evals/v7/decision-v7", | |
| "train_sources": "", | |
| "device": "cuda", | |
| "batch": 4, | |
| "dtype": "bf16", | |
| "weights_dtype": "bf16", | |
| "checkpointing": 1, | |
| "option_isolation": 0, | |
| "special_embeddings": 0, | |
| "head_dim": 256, | |
| "lora_targets": "all", | |
| "base_revision": "1001bb4d826a52d1f399e183466143f4da7b741b", | |
| "p_none": 0.0, | |
| "p_none_distract": 0.0, | |
| "p_distract": 0.0, | |
| "p_none_pair": 0.0, | |
| "none_pair_max_state": null, | |
| "synthetic_repeat": 1, | |
| "public_frac": 1.0, | |
| "anchor": "", | |
| "anchor_w": 0.0, | |
| "anchor_sources": "", | |
| "out": "runs/jevasio-4b-v2", | |
| "data": "/root/work/kev-pt/data/out-v2/train-continue.jsonl", | |
| "max_state": 1024, | |
| "replay": 12576, | |
| "init_from": "TigreGotico/jevasio-4b", | |
| "full_ft": 0, | |
| "row_budget": 0, | |
| "shared_prefix": 0, | |
| "length_sort": 1, | |
| "pass_tokens_max": 0, | |
| "max_steps": 0, | |
| "save_every_steps": 0, | |
| "save_every_minutes": 0, | |
| "resume": 0, | |
| "stop_after": 0, | |
| "snapshot_fractions": "", | |
| "snapshot_every_steps": 0, | |
| "snapshot_dir": "", | |
| "seed": 0 | |
| }, | |
| "suite_sha256": "a8f50e481b7d90b97da049e0ff6a01cee2f1ed204aed61a8265af0edbb5514d2", | |
| "base_revision": "1001bb4d826a52d1f399e183466143f4da7b741b", | |
| "init_source": { | |
| "init_from": "TigreGotico/jevasio-4b", | |
| "resolved": "/root/.cache/huggingface/hub/models--TigreGotico--jevasio-4b/snapshots/76a7f73ad33ff4ff7b173b59b45f03130b9f885c", | |
| "weights_sha256": "3ef6fc4422a555d6e76d80f552c1055d406e682cb32d821b20c6ab0fe3fabffb", | |
| "head_sha256": "5e47c3b9f1b3a5a1ca579e1fd2a78935e55ea3408156964723588a99b42e3a6a", | |
| "tensors": 496 | |
| }, | |
| "ordinal_objective": "ranked_probability_score", | |
| "holdout": [] | |
| } | |