Update README.md

README.md

@@ -1,21 +1,35 @@
 ---
 widget:
-  - text: አዲስ አበባ
-    example_title: Example 1
-  - text: በ ኢንግሊዝ ፕሪምየር ሊግ
-    example_title: Example 2
-  - text: ፕሬዚዳንት ዶናልድ ትራምፕ
-    example_title: Example 3
+- text: አዲስ አበባ
+  example_title: Example 1
+- text: በ ኢንግሊዝ ፕሪምየር ሊግ
+  example_title: Example 2
+- text: ፕሬዚዳንት ዶናልድ ትራምፕ
+  example_title: Example 3
+language:
+- am
+metrics:
+- perplexity
+library_name: transformers
+pipeline_tag: text-generation
 ---
 
 # gpt2-small-amharic-128-v3
 
-This is a smaller version of the [gpt2](https://huggingface.co/openai-community/gpt2) decoder transformer model pretrained from scratch for **1.5 days** on **290 million tokens** of **Amharic** text. The **context size** of this model is **128** tokens. It has the same tokenizer as gpt2, trained from scratch using the same dataset with a vocabulary size of **16384**. 
+This is a smaller version of the [gpt2](https://huggingface.co/openai-community/gpt2) decoder transformer model pretrained from scratch for **1.5 days** on **290 million tokens** of **Amharic** text. 
 
-This is a base model and hasn't undergone any supervised finetuing yet.
+- It has **33.7 Million parameters**
+- The **context size** of this model is **128** tokens.
+- It has the same **tokenizer** as gpt2, trained from scratch using the same dataset with a vocabulary size of **16384**.
+- This is a base model and hasn't undergone any supervised finetuing yet.
+
+It achieves the following results on the evaluation set:
+
+- `Loss: 3.96`
+- `Perplexity: 52.55`
 
 ### Demo
 
-You can use the following demo to generate text using this model. Please **enter a prompt** and click the **Generate** button to generate completions for the prompt.
+You can use the following demo to generate text using gpt2-small-amharic. Please **enter a prompt** and click the **Generate** button to generate completions for the prompt.
 
-https://huggingface.co/spaces/rasyosef/GPT2-Amharic
+https://huggingface.co/spaces/rasyosef/GPT2-Amharic