| license: gemma | |
| base_model: unsloth/gemma-4-E2B-it | |
| tags: | |
| - lora | |
| - classification | |
| - telelogs | |
| - 5g-rca | |
| # TeleLogs 5G Root Cause Classifier (Gemma-4-E2B + LoRA) | |
| LoRA fine-tune of unsloth/gemma-4-E2B-it (language layers only) with a custom | |
| classification head (Dropout -> LayerNorm -> Linear) for 8-way root cause | |
| classification (C1-C8) on the netop/TeleLogs dataset. | |
| ## Files | |
| - adapter_model.safetensors / adapter_config.json: LoRA adapter | |
| - layer_norm.pt: LayerNorm state dict applied to final hidden state | |
| - classifier_head.pt: Linear classifier head state dict | |
| - classification_config.json: hidden_size, num_labels, id2label mapping | |
| ## Usage | |
| See the accompanying `app.py` in the linked Space for a full CPU-compatible | |
| loading example (base model + LoRA adapter + custom head, loaded with plain | |
| transformers + peft rather than Unsloth). | |
| Accuracy: 0.9444 | Macro F1: 0.9444 | |