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.
