Update README.md

README.md

@@ -9,6 +9,8 @@ base_model: meta-llama/Meta-Llama-3-8B-Instruct
 model-index:
 - name: llama3-8b-schopenhauer
   results: []
+language:
+- en
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -16,19 +18,19 @@ should probably proofread and complete it, then remove this comment. -->
 
 # llama3-8b-schopenhauer
 
-This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct) on an unknown dataset.
+![llama_schopenhauer.png](https://cdn-uploads.huggingface.co/production/uploads/643c1c055fcffe09fb6874f1/fstVI_o29OyepyL2nIZZ_.png)
 
-## Model description
 
-More information needed
+This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct) on a synthetic dataset of argumentative conversations.
 
-## Intended uses & limitations
+## Model description
 
-More information needed
+The model as been trained to be an argumentative expert, following deterministic rethoric guidelines depicted by Schopenhauer in The Art of Being Right. 
+The model aims at showing how persuasive a model can be if we simply introduce some simple deterministic argumentative guidelines. 
 
 ## Training and evaluation data
 
-More information needed
+The model has been trained using LoRa on a small synthetic dataset which quality can be improved both in size and quality. The model has shown great performance in responding with short percuting answers to argumentative conversations. No argumentative metric has been implemented, interesting arguments evaluation benchmark can be found in [Cabrio, E., & Villata, S. (Year). Towards a Benchmark of Natural Language Arguments. INRIA Sophia Antipolis, France.](https://arxiv.org/pdf/1405.0941v1) 
 
 ## Training procedure
 
@@ -43,10 +45,6 @@ The following hyperparameters were used during training:
 - lr_scheduler_type: linear
 - num_epochs: 3.0
 
-### Training results
-
-
-
 ### Framework versions
 
 - PEFT 0.10.0