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| Parameter | Value |
|---|---|
| Training Mode | ORPO |
| Base Model | nbeerbower/Hemlock-Tincture-14B |
| Learning Rate | 8e-06 |
| Epochs | 2 |
| Batch Size | 2 |
| Gradient Accumulation | 8 |
| Effective Batch Size | 16 |
| Max Sequence Length | 2048 |
| Optimizer | paged_adamw_8bit |
| LR Scheduler | cosine |
| Warmup Ratio | 0.05 |
| Weight Decay | 0.01 |
| Max Grad Norm | 0.3 |
| Seed | 42 |
| Beta | 0.1 |
| Max Prompt Length | 1024 |
| LoRA Rank (r) | 128 |
| LoRA Alpha | 128 |
| LoRA Dropout | 0.05 |
| Target Modules | up_proj, down_proj, gate_proj, k_proj, q_proj, v_proj, o_proj |
| Quantization | 4-bit (NF4) |
| GPU | NVIDIA RTX A6000 |
data/configs/<name>.json (or import it via the Load Configuration dialog) to reproduce the exact training setup. Credentials are not included — Merlina will use your own HF_TOKEN and WANDB_API_KEY from .env or the form.1{
2 "_metadata": {
3 "name": "Hemlock-Philter-14B",
4 "description": "Training configuration shared from a Merlina-trained model.",
5 "tags": [],
6 "schema": "merlina/training-config",
7 "schema_version": 1,
8 "merlina_version": "2.0.3"
9 },
10 "base_model": "nbeerbower/Hemlock-Tincture-14B",
11 "output_name": "Hemlock-Philter-14B",
12 "use_lora": true,
13 "lora_r": 128,
14 "lora_alpha": 128,
15 "lora_dropout": 0.05,
16 "target_modules": [
17 "up_proj",
18 "down_proj",
19 "gate_proj",
20 "k_proj",
21 "q_proj",
22 "v_proj",
23 "o_proj"
24 ],
25 "modules_to_save": [],
26 "lora_task_type": "CAUSAL_LM",
27 "learning_rate": 8e-06,
28 "num_epochs": 2,
29 "batch_size": 2,
30 "gradient_accumulation_steps": 8,
31 "max_length": 2048,
32 "max_prompt_length": 1024,
33 "model_type": "auto",
34 "training_mode": "orpo",
35 "beta": 0.1,
36 "label_smoothing": 0.0,
37 "gamma": 0.5,
38 "vision_model_id": null,
39 "stage": null,
40 "unfreeze_vision_top_n": null,
41 "image_token_id": null,
42 "min_pixels": null,
43 "max_pixels": null,
44 "image_column": null,
45 "caption_column": null,
46 "instruction": null,
47 "streaming": null,
48 "model_name": null,
49 "image_resolution": null,
50 "lora_rank": null,
51 "lora_target_modules": null,
52 "lora_use_dora": null,
53 "mid_training_samples": null,
54 "dataset_jsonl_path": null,
55 "dataset_name": null,
56 "dataset_split": null,
57 "sample_prompts": null,
58 "sample_num_steps": null,
59 "dataset": {
60 "source": {
61 "source_type": "huggingface",
62 "repo_id": "hemlang/Hemlock2-DPO",
63 "split": "train",
64 "file_path": null,
65 "file_format": null,
66 "dataset_id": null,
67 "streaming": false,
68 "streaming_batch_size": 10000,
69 "column_mapping": {}
70 },
71 "additional_sources": [],
72 "format": {
73 "format_type": "tokenizer",
74 "custom_templates": null,
75 "enable_thinking": false
76 },
77 "model_name": null,
78 "column_mapping": {},
79 "convert_messages_format": false,
80 "deduplicate": false,
81 "dedupe_strategy": "prompt_chosen",
82 "test_size": 0.01,
83 "max_samples": null,
84 "system_prompt": null,
85 "system_prompt_mode": "fill_empty",
86 "training_mode": "orpo"
87 },
88 "seed": 42,
89 "max_grad_norm": 0.3,
90 "warmup_ratio": 0.05,
91 "eval_steps": 0.2,
92 "use_4bit": true,
93 "use_wandb": true,
94 "push_to_hub": true,
95 "merge_lora_before_upload": true,
96 "hf_hub_private": true,
97 "export_gguf": false,
98 "gguf_quant_types": [
99 "Q4_K_M"
100 ],
101 "keep_gguf_fp16": false,
102 "shuffle_dataset": true,
103 "weight_decay": 0.01,
104 "lr_scheduler_type": "cosine",
105 "gradient_checkpointing": true,
106 "logging_steps": 1,
107 "optimizer_type": "paged_adamw_8bit",
108 "adam_beta1": 0.9,
109 "adam_beta2": 0.999,
110 "adam_epsilon": 1e-08,
111 "adafactor_relative_step": false,
112 "adafactor_scale_parameter": false,
113 "adafactor_warmup_init": false,
114 "adafactor_decay_rate": -0.8,
115 "adafactor_beta1": null,
116 "adafactor_clip_threshold": 1.0,
117 "attn_implementation": "auto",
118 "use_liger": false,
119 "torch_compile": false,
120 "neftune_alpha": null,
121 "eval_on_start": false,
122 "gpu_ids": null,
123 "multi_gpu_strategy": "auto",
124 "wandb_project": null,
125 "wandb_run_name": null,
126 "wandb_tags": null,
127 "wandb_notes": null
128}