Instructions to use guzus/jev-nyotti with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use guzus/jev-nyotti with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3.5-4B") model = PeftModel.from_pretrained(base_model, "guzus/jev-nyotti") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download evaluation.json from guzus/jev-nyotti: direct link, hf CLI and curl.
- Browser
- Download file 9.45 kB
-
https://huggingface.co/guzus/jev-nyotti/resolve/main/evaluation.json
- Command line
-
hf download hf://guzus/jev-nyotti/evaluation.json
-
curl -L -o evaluation.json https://huggingface.co/guzus/jev-nyotti/resolve/main/evaluation.json
9.45 kB
| { | |
| "model": "Qwen/Qwen3.5-4B", | |
| "revision": "851bf6e806efd8d0a36b00ddf55e13ccb7b8cd0a", | |
| "training_method": "BF16 LoRA rank16; next-hour position-side imitation; single answer token", | |
| "completed_steps": 1024, | |
| "trainable_parameters": 32464896, | |
| "splits": { | |
| "train": { | |
| "count": 4096, | |
| "labels": { | |
| "flat": 299, | |
| "long": 1366, | |
| "short": 2431 | |
| } | |
| }, | |
| "validation": { | |
| "count": 128, | |
| "labels": { | |
| "short": 95, | |
| "long": 33 | |
| } | |
| }, | |
| "test": { | |
| "count": 128, | |
| "labels": { | |
| "long": 70, | |
| "short": 58 | |
| } | |
| } | |
| }, | |
| "baseline": { | |
| "validation": { | |
| "count": 128, | |
| "accuracy": 0.9453125, | |
| "macro_f1": 0.6211902042887959, | |
| "per_class": { | |
| "long": { | |
| "precision": 0.8421052631578947, | |
| "recall": 0.9696969696969697, | |
| "f1": 0.9014084507042254, | |
| "support": 33 | |
| }, | |
| "short": { | |
| "precision": 0.9888888888888889, | |
| "recall": 0.9368421052631579, | |
| "f1": 0.9621621621621621, | |
| "support": 95 | |
| }, | |
| "flat": { | |
| "precision": 0.0, | |
| "recall": 0.0, | |
| "f1": 0.0, | |
| "support": 0 | |
| } | |
| }, | |
| "confusion_matrix": [ | |
| [ | |
| 32, | |
| 1, | |
| 0 | |
| ], | |
| [ | |
| 6, | |
| 89, | |
| 0 | |
| ], | |
| [ | |
| 0, | |
| 0, | |
| 0 | |
| ] | |
| ], | |
| "confusion_order": [ | |
| "long", | |
| "short", | |
| "flat" | |
| ], | |
| "confusion_axes": "rows=target, columns=prediction", | |
| "persistence_baseline": { | |
| "count": 128, | |
| "accuracy": 0.984375, | |
| "macro_f1": 0.653056884635832, | |
| "per_class": { | |
| "long": { | |
| "precision": 0.9696969696969697, | |
| "recall": 0.9696969696969697, | |
| "f1": 0.9696969696969697, | |
| "support": 33 | |
| }, | |
| "short": { | |
| "precision": 0.9894736842105263, | |
| "recall": 0.9894736842105263, | |
| "f1": 0.9894736842105263, | |
| "support": 95 | |
| }, | |
| "flat": { | |
| "precision": 0.0, | |
| "recall": 0.0, | |
| "f1": 0.0, | |
| "support": 0 | |
| } | |
| }, | |
| "confusion_matrix": [ | |
| [ | |
| 32, | |
| 1, | |
| 0 | |
| ], | |
| [ | |
| 1, | |
| 94, | |
| 0 | |
| ], | |
| [ | |
| 0, | |
| 0, | |
| 0 | |
| ] | |
| ], | |
| "confusion_order": [ | |
| "long", | |
| "short", | |
| "flat" | |
| ], | |
| "confusion_axes": "rows=target, columns=prediction" | |
| }, | |
| "position_change_subset": { | |
| "count": 2, | |
| "accuracy": 0.0, | |
| "persistence_accuracy": 0.0 | |
| } | |
| }, | |
| "test": { | |
| "count": 128, | |
| "accuracy": 0.96875, | |
| "macro_f1": 0.6455026455026455, | |
| "per_class": { | |
| "long": { | |
| "precision": 0.9459459459459459, | |
| "recall": 1.0, | |
| "f1": 0.9722222222222222, | |
| "support": 70 | |
| }, | |
| "short": { | |
| "precision": 1.0, | |
| "recall": 0.9310344827586207, | |
| "f1": 0.9642857142857143, | |
| "support": 58 | |
| }, | |
| "flat": { | |
| "precision": 0.0, | |
| "recall": 0.0, | |
| "f1": 0.0, | |
| "support": 0 | |
| } | |
| }, | |
| "confusion_matrix": [ | |
| [ | |
| 70, | |
| 0, | |
| 0 | |
| ], | |
| [ | |
| 4, | |
| 54, | |
| 0 | |
| ], | |
| [ | |
| 0, | |
| 0, | |
| 0 | |
| ] | |
| ], | |
| "confusion_order": [ | |
| "long", | |
| "short", | |
| "flat" | |
| ], | |
| "confusion_axes": "rows=target, columns=prediction", | |
| "persistence_baseline": { | |
| "count": 128, | |
| "accuracy": 0.9921875, | |
| "macro_f1": 0.6614040497481756, | |
| "per_class": { | |
| "long": { | |
| "precision": 0.9859154929577465, | |
| "recall": 1.0, | |
| "f1": 0.9929078014184397, | |
| "support": 70 | |
| }, | |
| "short": { | |
| "precision": 1.0, | |
| "recall": 0.9827586206896551, | |
| "f1": 0.9913043478260869, | |
| "support": 58 | |
| }, | |
| "flat": { | |
| "precision": 0.0, | |
| "recall": 0.0, | |
| "f1": 0.0, | |
| "support": 0 | |
| } | |
| }, | |
| "confusion_matrix": [ | |
| [ | |
| 70, | |
| 0, | |
| 0 | |
| ], | |
| [ | |
| 1, | |
| 57, | |
| 0 | |
| ], | |
| [ | |
| 0, | |
| 0, | |
| 0 | |
| ] | |
| ], | |
| "confusion_order": [ | |
| "long", | |
| "short", | |
| "flat" | |
| ], | |
| "confusion_axes": "rows=target, columns=prediction" | |
| }, | |
| "position_change_subset": { | |
| "count": 1, | |
| "accuracy": 0.0, | |
| "persistence_accuracy": 0.0 | |
| } | |
| } | |
| }, | |
| "after": { | |
| "validation": { | |
| "count": 128, | |
| "accuracy": 0.984375, | |
| "macro_f1": 0.653056884635832, | |
| "per_class": { | |
| "long": { | |
| "precision": 0.9696969696969697, | |
| "recall": 0.9696969696969697, | |
| "f1": 0.9696969696969697, | |
| "support": 33 | |
| }, | |
| "short": { | |
| "precision": 0.9894736842105263, | |
| "recall": 0.9894736842105263, | |
| "f1": 0.9894736842105263, | |
| "support": 95 | |
| }, | |
| "flat": { | |
| "precision": 0.0, | |
| "recall": 0.0, | |
| "f1": 0.0, | |
| "support": 0 | |
| } | |
| }, | |
| "confusion_matrix": [ | |
| [ | |
| 32, | |
| 1, | |
| 0 | |
| ], | |
| [ | |
| 1, | |
| 94, | |
| 0 | |
| ], | |
| [ | |
| 0, | |
| 0, | |
| 0 | |
| ] | |
| ], | |
| "confusion_order": [ | |
| "long", | |
| "short", | |
| "flat" | |
| ], | |
| "confusion_axes": "rows=target, columns=prediction", | |
| "persistence_baseline": { | |
| "count": 128, | |
| "accuracy": 0.984375, | |
| "macro_f1": 0.653056884635832, | |
| "per_class": { | |
| "long": { | |
| "precision": 0.9696969696969697, | |
| "recall": 0.9696969696969697, | |
| "f1": 0.9696969696969697, | |
| "support": 33 | |
| }, | |
| "short": { | |
| "precision": 0.9894736842105263, | |
| "recall": 0.9894736842105263, | |
| "f1": 0.9894736842105263, | |
| "support": 95 | |
| }, | |
| "flat": { | |
| "precision": 0.0, | |
| "recall": 0.0, | |
| "f1": 0.0, | |
| "support": 0 | |
| } | |
| }, | |
| "confusion_matrix": [ | |
| [ | |
| 32, | |
| 1, | |
| 0 | |
| ], | |
| [ | |
| 1, | |
| 94, | |
| 0 | |
| ], | |
| [ | |
| 0, | |
| 0, | |
| 0 | |
| ] | |
| ], | |
| "confusion_order": [ | |
| "long", | |
| "short", | |
| "flat" | |
| ], | |
| "confusion_axes": "rows=target, columns=prediction" | |
| }, | |
| "position_change_subset": { | |
| "count": 2, | |
| "accuracy": 0.0, | |
| "persistence_accuracy": 0.0 | |
| } | |
| }, | |
| "test": { | |
| "count": 128, | |
| "accuracy": 0.9921875, | |
| "macro_f1": 0.6614040497481756, | |
| "per_class": { | |
| "long": { | |
| "precision": 0.9859154929577465, | |
| "recall": 1.0, | |
| "f1": 0.9929078014184397, | |
| "support": 70 | |
| }, | |
| "short": { | |
| "precision": 1.0, | |
| "recall": 0.9827586206896551, | |
| "f1": 0.9913043478260869, | |
| "support": 58 | |
| }, | |
| "flat": { | |
| "precision": 0.0, | |
| "recall": 0.0, | |
| "f1": 0.0, | |
| "support": 0 | |
| } | |
| }, | |
| "confusion_matrix": [ | |
| [ | |
| 70, | |
| 0, | |
| 0 | |
| ], | |
| [ | |
| 1, | |
| 57, | |
| 0 | |
| ], | |
| [ | |
| 0, | |
| 0, | |
| 0 | |
| ] | |
| ], | |
| "confusion_order": [ | |
| "long", | |
| "short", | |
| "flat" | |
| ], | |
| "confusion_axes": "rows=target, columns=prediction", | |
| "persistence_baseline": { | |
| "count": 128, | |
| "accuracy": 0.9921875, | |
| "macro_f1": 0.6614040497481756, | |
| "per_class": { | |
| "long": { | |
| "precision": 0.9859154929577465, | |
| "recall": 1.0, | |
| "f1": 0.9929078014184397, | |
| "support": 70 | |
| }, | |
| "short": { | |
| "precision": 1.0, | |
| "recall": 0.9827586206896551, | |
| "f1": 0.9913043478260869, | |
| "support": 58 | |
| }, | |
| "flat": { | |
| "precision": 0.0, | |
| "recall": 0.0, | |
| "f1": 0.0, | |
| "support": 0 | |
| } | |
| }, | |
| "confusion_matrix": [ | |
| [ | |
| 70, | |
| 0, | |
| 0 | |
| ], | |
| [ | |
| 1, | |
| 57, | |
| 0 | |
| ], | |
| [ | |
| 0, | |
| 0, | |
| 0 | |
| ] | |
| ], | |
| "confusion_order": [ | |
| "long", | |
| "short", | |
| "flat" | |
| ], | |
| "confusion_axes": "rows=target, columns=prediction" | |
| }, | |
| "position_change_subset": { | |
| "count": 1, | |
| "accuracy": 0.0, | |
| "persistence_accuracy": 0.0 | |
| } | |
| } | |
| }, | |
| "reload_cases": 12, | |
| "reload_max_logit_difference": 0.0, | |
| "reload_predictions_identical": true, | |
| "interpretation": "No improvement over previous-position persistence. Historical exposure imitation, not demonstrated profitable trading." | |
| } | |