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pages/interns/yussef_ressaissi/README.md

@@ -30,6 +30,25 @@ Tasks:
   - Prepare a final report with analysis, experiments and conclusions.
   - Publish the fine-tuned models in HF HUB. Publish the paper from the project.
 
+Meeting 19.8.
+
+State:
+
+- Fine tuned Slovak Mistral 7B
+- Tried Llama3 7B - results look ok, but MIstral is Better.
+- Tried gpt-oss, but it does not work because of dependencies.
+- Work on preliminary final report.
+- ROUGE score is not good for abstractive summarization.
+- The best way to evaluate so far is to see it in person.
+
+Tasks:
+
+- Try to fine tune other models. 'google/gemma-3-4b-it, HPLT/hplt2c_slk_checkpoints Qwen/Qwen3-4B'. Results wil be in different branches of the repository.
+- Try to automatically evaluate the results using a large LLM. Read some papers about it. Prepare a script using ollama and gpt-oss-20B.
+- Work on the final report.
+ 
+
+
 Meeting 4.8.
 
 State: