Text Generation
PEFT
Safetensors
English
lora
data-to-text
text-to-data
factual-consistency
hallucination-detection
Instructions to use Loria-MosAIk/xqdt-e2e-gemma3-4b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Loria-MosAIk/xqdt-e2e-gemma3-4b with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/gemma-3-4b-it") model = PeftModel.from_pretrained(base_model, "Loria-MosAIk/xqdt-e2e-gemma3-4b") - Notebooks
- Google Colab
- Kaggle
Download training_manifest.json from Loria-MosAIk/xqdt-e2e-gemma3-4b: direct link, hf CLI and curl.
- Browser
- Download file 1.35 kB
-
https://huggingface.co/Loria-MosAIk/xqdt-e2e-gemma3-4b/resolve/main/training_manifest.json
- Command line
-
hf download hf://Loria-MosAIk/xqdt-e2e-gemma3-4b/training_manifest.json
-
curl -L -o training_manifest.json https://huggingface.co/Loria-MosAIk/xqdt-e2e-gemma3-4b/resolve/main/training_manifest.json
1.35 kB
| { | |
| "adapter_model_sha256": "410f60027bb0884923650616b40eeeca780063887717817e8444f91e218775b8", | |
| "base_model": "google/gemma-3-4b-it", | |
| "dataset_release_label": "e2e", | |
| "hyperparameters": { | |
| "bf16": true, | |
| "dataset": [ | |
| "triple_error_train" | |
| ], | |
| "dataset_num_proc": 1, | |
| "eval_steps": 279, | |
| "fp16": false, | |
| "gradient_accumulation_steps": 4, | |
| "gradient_checkpointing": true, | |
| "learning_rate": 5e-05, | |
| "logging_steps": 93, | |
| "lora_alpha": 32, | |
| "lora_dropout": 0.05, | |
| "lora_rank": 16, | |
| "max_length": 1024, | |
| "max_new_tokens": 64, | |
| "model": "google/gemma-3-4b-it", | |
| "model_type": "gemma3_vision", | |
| "num_train_epochs": 16, | |
| "per_device_eval_batch_size": 4, | |
| "per_device_train_batch_size": 4, | |
| "save_steps": 279, | |
| "save_total_limit": 3, | |
| "seed": 2023, | |
| "system": null, | |
| "target_modules": [ | |
| "all-linear" | |
| ], | |
| "template": "gemma3_text", | |
| "torch_dtype": "bfloat16", | |
| "train_type": "lora", | |
| "warmup_ratio": 0.0625, | |
| "weight_decay": 0.01 | |
| }, | |
| "repository": "xqdt-e2e-gemma3-4b", | |
| "schema_version": 1, | |
| "source_checkpoint_relative_path": "checkpoints/checkpoints_e2e19/output_gemma3_4b_e2e19/v0-20260215-222239/checkpoint-6975", | |
| "source_commit": "739c84d868f9d32bcf5c150bdf05c56260cfcaf4", | |
| "training_scope": "joint WebNLG and E2E synthetic data" | |
| } | |