Update README.md

README.md

@@ -1,11 +1,17 @@
 ---
-library_name: transformers
+datasets:
+- arbml/CIDAR
+base_model: google/gemma-2b-it
 pipeline_tag: text-generation
 ---
 
-# Model Card for Model ID
+# Fine-Tuning-Gemma-2b-it-for-Arabic
 
 <!-- Provide a quick summary of what the model is/does. -->
+This model is a fine-tuned version of [google/gemma-2b-it](https://huggingface.co/google/gemma-2b-it) on [arbml/CIDAR](https://huggingface.co/datasets/arbml/CIDAR) Arabic dataset.  
+
+It achieves the following results on the evaluation set:
+- training_loss=2.281057505607605
 
 
 
@@ -142,7 +148,7 @@ Use the code below to get started with the model.
 
 <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
 
-Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+<!--Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).-->
 
 - **Hardware Type:** [More Information Needed]
 - **Hours used:** [More Information Needed]
@@ -196,4 +202,4 @@ Carbon emissions can be estimated using the [Machine Learning Impact calculator]
 
 ## Model Card Contact
 
-[More Information Needed]
+[More Information Needed]