Text Generation
Safetensors
Russian
qwen2
hallucination-detection
fact-checking
qwen2.5
lora
unsloth
russian
nlp
classification
conversational
Instructions to use AtesiT/qwen2.5-1.5b-ru-hallucination-detector with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Local Apps Settings
- Unsloth Desktop
Download training_history.json from AtesiT/qwen2.5-1.5b-ru-hallucination-detector: direct link, hf CLI and curl.
- Browser
- Download file 1.69 kB
-
https://huggingface.co/AtesiT/qwen2.5-1.5b-ru-hallucination-detector/resolve/main/training_history.json
- Command line
-
hf download hf://AtesiT/qwen2.5-1.5b-ru-hallucination-detector/training_history.json
-
curl -L -o training_history.json https://huggingface.co/AtesiT/qwen2.5-1.5b-ru-hallucination-detector/resolve/main/training_history.json
1.69 kB
| [ | |
| { | |
| "datetime": "2026-08-11 11:27:28", | |
| "version": "v1", | |
| "base_model": "unsloth/Qwen2.5-1.5B-Instruct-bnb-4bit", | |
| "accuracy": 0.9587, | |
| "f1": 0.9573, | |
| "precision": 0.9739, | |
| "recall": 0.9412, | |
| "train_size": 3865, | |
| "val_size": 483, | |
| "test_size": 484, | |
| "epochs": 2, | |
| "lr": "2e-4", | |
| "lora_r": 16 | |
| }, | |
| { | |
| "datetime": "2026-08-12 12:05:19", | |
| "version": "v2", | |
| "base_model": "unsloth/Qwen2.5-1.5B-Instruct-bnb-4bit", | |
| "accuracy": 0.9628, | |
| "f1": 0.9615, | |
| "precision": 0.9783, | |
| "recall": 0.9454, | |
| "train_size": 3867, | |
| "val_size": 483, | |
| "test_size": 484, | |
| "epochs": 2, | |
| "lr": "2e-4", | |
| "lora_r": 16 | |
| }, | |
| { | |
| "datetime": "2026-08-13 08:18:03", | |
| "version": "v3", | |
| "base_model": "unsloth/Qwen2.5-1.5B-Instruct-bnb-4bit", | |
| "accuracy": 0.9794, | |
| "f1": 0.9792, | |
| "precision": 0.9751, | |
| "recall": 0.9833, | |
| "train_size": 3876, | |
| "val_size": 484, | |
| "test_size": 485, | |
| "epochs": 2, | |
| "lr": "2e-4", | |
| "lora_r": 16 | |
| }, | |
| { | |
| "datetime": "2026-08-13 09:16:07", | |
| "version": "v4", | |
| "base_model": "unsloth/Qwen2.5-1.5B-Instruct-bnb-4bit", | |
| "accuracy": 0.9794, | |
| "f1": 0.9792, | |
| "precision": 0.9751, | |
| "recall": 0.9833, | |
| "train_size": 3874, | |
| "val_size": 484, | |
| "test_size": 485, | |
| "epochs": 2, | |
| "lr": "2e-4", | |
| "lora_r": 16 | |
| }, | |
| { | |
| "datetime": "2026-08-14 08:11:28", | |
| "version": "v5", | |
| "base_model": "unsloth/Qwen2.5-1.5B-Instruct-bnb-4bit", | |
| "accuracy": 0.9835, | |
| "f1": 0.9833, | |
| "precision": 0.9793, | |
| "recall": 0.9874, | |
| "train_size": 3877, | |
| "val_size": 485, | |
| "test_size": 485, | |
| "epochs": 2, | |
| "lr": "2e-4", | |
| "lora_r": 16 | |
| } | |
| ] |