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Model: EdonFetaji/MK-Llama-3.2-1B
Source: Original Platform

README.md

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+---
+license: llama3.2
+datasets:
+- LVSTCK/macedonian-corpus-cleaned-dedup
+language:
+- mk
+base_model:
+- meta-llama/Llama-3.2-1B
+tags:
+- mk
+- continual-pretraining
+- lora
+library_name: transformers
+---
+
+# MK Llama-3.2-1B (Continued Pretraining)
+## Summary
+Continued pretraining for Macedonian language on **lvstck/macedonian-corpus-cleaned-dedup**.  
+Trained using LoRA adapters on a **single A100**.
+## Training
+- Stage 1: **0.4 epochs** on Google Colab A100  
+- Stage 2: **0.9 epochs** on A100 - FINKI GPU cluster  
+- Total: **1.3 epochs**
+## Training Metrics
+TensorBoard logs are available in the **Training metrics** tab of this model repository. **Logs only available for STAGE 2**
+The logs include training loss, learning rate, gradient norm, and evaluation metrics .
+
+- View the TensorBoard dashboard here:
+ [Open TensorBoard training metrics](https://huggingface.co/EdonFetaji/MK-Llama-3.2-1B/tensorboard)
+## Notes
+This is a continued pretraining checkpoint focused on Macedonian.