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Training Configuration

ParameterValue
Training ModeSFT
Base ModelJackrong/Qwopus3.5-9B-Coder
Learning Rate0.0002
Epochs2
Batch Size2
Gradient Accumulation8
Effective Batch Size16
Max Sequence Length4096
Optimizerpaged_adamw_8bit
LR Schedulercosine
Warmup Ratio0.05
Weight Decay0.01
Max Grad Norm1.0
Seed42
LoRA Rank (r)256
LoRA Alpha256
LoRA Dropout0.05
Target Modulesk_proj, o_proj, q_proj, v_proj, down_proj, gate_proj, up_proj
Quantization4-bit (NF4)
GPUNVIDIA RTX A6000

Datasets

Trained on 3 concatenated datasets:

  1. hemlang/Hemlock2-DPO (split: train)
  2. hemlang/hemlock-formulary-SFT (split: train)
  3. hemlang/hemlock-codex-SFT (split: train)

Reproduce this training run

This model was trained with Merlina. Save the JSON below to 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.

json

{
"_metadata": {
"name": "Hemlock-Qwopus3.5-9B-Coder",
"description": "Training configuration shared from a Merlina-trained model.",
"tags": [],
"schema": "merlina/training-config",
"schema_version": 1,
"merlina_version": "2.0.1"
},
"base_model": "Jackrong/Qwopus3.5-9B-Coder",
"output_name": "Hemlock-Qwopus3.5-9B-Coder",
"use_lora": true,
"lora_r": 256,
"lora_alpha": 256,
"lora_dropout": 0.05,
"target_modules": [
"k_proj",
"o_proj",
"q_proj",
"v_proj",
"down_proj",
"gate_proj",
"up_proj"
],
"modules_to_save": [],
"lora_task_type": "CAUSAL_LM",
"learning_rate": 0.0002,
"num_epochs": 2,
"batch_size": 2,
"gradient_accumulation_steps": 8,
"max_length": 4096,
"max_prompt_length": 1024,
"model_type": "auto",
"training_mode": "sft",
"beta": 0.1,
"label_smoothing": 0.0,
"gamma": 0.5,
"vision_model_id": null,
"stage": null,
"unfreeze_vision_top_n": null,
"image_token_id": null,
"min_pixels": null,
"max_pixels": null,
"image_column": null,
"caption_column": null,
"instruction": null,
"streaming": null,
"model_name": null,
"image_resolution": 1024,
"lora_rank": 32,
"lora_target_modules": null,
"lora_use_dora": false,
"mid_training_samples": true,
"dataset_jsonl_path": null,
"dataset_name": null,
"dataset_split": null,
"sample_prompts": null,
"sample_num_steps": null,
"dataset": {
"source": {
"source_type": "huggingface",
"repo_id": "hemlang/Hemlock2-DPO",
"split": "train",
"file_path": null,
"file_format": null,
"dataset_id": null,
"streaming": false,
"streaming_batch_size": 10000,
"column_mapping": null
},
"additional_sources": [
{
"source_type": "huggingface",
"repo_id": "hemlang/hemlock-formulary-SFT",
"split": "train",
"file_path": null,
"file_format": null,
"dataset_id": null,
"streaming": false,
"streaming_batch_size": 10000,
"column_mapping": {
"instruction": "prompt",
"output": "chosen"
}
},
{
"source_type": "huggingface",
"repo_id": "hemlang/hemlock-codex-SFT",
"split": "train",
"file_path": null,
"file_format": null,
"dataset_id": null,
"streaming": false,
"streaming_batch_size": 10000,
"column_mapping": {
"instruction": "prompt",
"output": "chosen"
}
}
],
"format": {
"format_type": "tokenizer",
"custom_templates": null,
"enable_thinking": true
},
"model_name": "Jackrong/Qwopus3.5-9B-Coder",
"column_mapping": {
"prompt": "prompt",
"chosen": "chosen",
"rejected": "rejected"
},
"convert_messages_format": true,
"deduplicate": false,
"dedupe_strategy": "prompt_chosen",
"test_size": 0.01,
"max_samples": null,
"system_prompt": null,
"system_prompt_mode": "fill_empty",
"training_mode": "sft"
},
"seed": 42,
"max_grad_norm": 1.0,
"warmup_ratio": 0.05,
"eval_steps": 0.2,
"use_4bit": true,
"use_wandb": true,
"push_to_hub": true,
"merge_lora_before_upload": true,
"hf_hub_private": true,
"export_gguf": false,
"gguf_quant_types": [
"Q4_K_M"
],
"keep_gguf_fp16": false,
"shuffle_dataset": true,
"weight_decay": 0.01,
"lr_scheduler_type": "cosine",
"gradient_checkpointing": true,
"logging_steps": 1,
"optimizer_type": "paged_adamw_8bit",
"adam_beta1": 0.9,
"adam_beta2": 0.999,
"adam_epsilon": 1e-08,
"adafactor_relative_step": false,
"adafactor_scale_parameter": false,
"adafactor_warmup_init": false,
"adafactor_decay_rate": -0.8,
"adafactor_beta1": null,
"adafactor_clip_threshold": 1.0,
"attn_implementation": "sdpa",
"use_liger": true,
"torch_compile": false,
"neftune_alpha": null,
"eval_on_start": false,
"gpu_ids": null,
"multi_gpu_strategy": "auto",
"wandb_project": null,
"wandb_run_name": null,
"wandb_tags": null,
"wandb_notes": null
}

Trained with Merlina

Merlina on GitHub

Model provider

nbeerbower

nbeerbower

Model tree

Base

Jackrong/Qwopus3.5-9B-Coder

Fine-tuned

this model

Modalities

Input

Video, Text, Image

Output

Text

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