Update README.md

README.md

@@ -1,33 +1,45 @@
 ---
 license: llama3
+language:
+- gsw
+datasets:
+- cis-lmu/GlotCC-V1
+pipeline_tag: text-generation
+base_model: NousResearch/Hermes-2-Pro-Llama-3-8B
 ---
 
 # Alpesteibock-Llama-3-8B-Alpha
 
 **Alpesteibock-Llama-3-8B-Alpha** is an experimental QLoRA fine-tune of [NousResearch/Hermes-2-Pro-Llama-3-8B](https://huggingface.co/NousResearch/Hermes-2-Pro-Llama-3-8B) on a dataset of more than 28 million tokens of Swiss German text from multiple sources.
 
-## Dataset
+## License
+
+This model is release under the [Llama 3 Community License](https://llama.meta.com/llama3/license/).
 
+## Dataset
 
+| Dataset | File Size | Description | Phase |
+|---------|-----------|-------------|-------|
+| [Alemannic Wikipedia](https://dumps.wikimedia.org/alswiki/) (Subset) | 50.5 MB | Articles in the Alemannic Wikipedia with most of those written in Alsatian filtered out | 2 |
+| [Schweizerdeutscher Mundartkorpus](https://chmk.ch/) (Copyright Free Subset) | 28.4 MB | Copyright free books written in Swiss German | 2 |
+| [GlotCC-V1.0](https://huggingface.co/datasets/cis-lmu/GlotCC-V1) (gsw-Latn) | 7.5 MB | Document-level general domain monolingual dataset derived from CommonCrawl | 2 |
 
 ## Training Details
 
 Hardware: 1x RTX 4090  
-Duration: 30 hours in total (2 hours for first phase and 28 hours for second phase)  
+Duration: 40 hours in total (2 hours for first phase and 38 hours for second phase)  
 
 ### Hyperparameters
 
 Adapter: QLoRA  
-Precision: 4 bit  
+Precision: 4-bit  
 Optimizer: adamw_bnb_8bit  
 LoRA Rank: 256  
 LoRA Alpha: 256  
 Learning Rate: 1e-5  
-Context Length: 4096 tokens  
+Scheduler: Cosine  
+Context Length: 4096  
 Batch Size: 1  
 Gradient Accumulation Steps: 1  
-Sample Packing: Off for first phase, on for second phase  
-Epochs: 2  
-
-## Limitations
-
+Sample Packing: On for first phase, Off for second phase  
+Epochs: 2