---
license: gemma
language:
- en
base_model: google/gemma-4-12B
base_model_relation: adapter
library_name: peft
tags:
- lora
- peft
- text-generation
- social-media
- gemma4
- generated_from_trainer
---

# micic-mihajlo/gemma-4-12b-social-post-lora

LoRA adapter for general-purpose social media post drafting.

## Base

- Base model: `google/gemma-4-12B`
- Adapter: `micic-mihajlo/gemma-4-12b-social-post-lora`
- Training method: `QLoRA + FSDP + MMD/JMQ`

## Data

- Train examples: `3`
- Validation examples: `1`
- Generated eval posts: `10`

## Objective

The adapter is optimized for brief-to-post generation with supervised cross-entropy plus distribution-alignment regularizers over token-logit shape.

## Evaluation

| Metric | Value |
| --- | ---: |
| `avg_sentence_length` | 15.7489 |
| `avg_word_length` | 5.0170 |
| `char_count` | 429.6000 |
| `cta_marker_count` | 0.2000 |
| `hashtag_count` | 0.0000 |
| `mention_count` | 0.0000 |
| `punctuation_rate` | 0.0228 |
| `sentence_count` | 4.4000 |
| `type_token_ratio` | 0.7624 |
| `url_count` | 0.0000 |
| `word_count` | 68.3000 |

## Base Comparison

- Style distance improvement: `661.4012`
- Adapter-target distance: `282.1723`
- Base-target distance: `943.5735`

## Limitations

- This adapter should not be used to imitate a private person, brand, or protected identity.
- Quality depends on the human-reference corpus and held-out brief coverage.
- Distribution metrics are diagnostic signals, not a substitute for human review.