Update Model card

README.md

@@ -12,21 +12,26 @@ model-index:
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-# gpt2-instruct-tuned-translator2
+# GPT2 Instruction Tuned English To German Headline Translation Model
 
-This model is a fine-tuned version of [raghavbali/gpt2-finetuned-headliner](https://huggingface.co/raghavbali/gpt2-finetuned-headliner) on the None dataset.
+- This model makes use of a english to german news headline translation dataset derived from [Harvard/abc-news-dataset](https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/SYBGZL) for the task of instruction tuning
+- The dataset was derived using LLaMA3.1 and GPT4o models for generating the translations
+- This model is a fine-tuned version of [raghavbali/gpt2-finetuned-headliner](https://huggingface.co/raghavbali/gpt2-finetuned-headliner).
 
 ## Model description
 
-More information needed
+This model leverages a Stanford Alpaca style instruction tuning dataset, the format is as follows:
+```md
+###Translate English Text to German:{text} ###Output: {translated_text}
+```
+The format is slightly modified to reduce the additional tokens required for the instructions as GPT2 context size is very limited.
+The model is trained on small ~5k sample to showcase the impact of instruction tuning on overall alignment of the model towards requested task
 
 ## Intended uses & limitations
 
-More information needed
+This is only for learning purposes. The model seems to have picked up German vocabulary as well as sentence structures to a good extent but the actual translations are at time grossly incorrect.
+The model also attempts at completing the news headlines given as prompt and has a high tendency to hallucinate.
 
-## Training and evaluation data
-
-More information needed
 
 ## Training procedure