Update README.md

README.md

@@ -1,7 +1,10 @@
 ---
 pipeline_tag: text-generation
 inference: true
-
+widget:
+- text: module display_hello_word
+  example_title: Hello world
+  group: Verilog
 license: bigcode-openrail-m
 datasets:
 - shailja/Verilog_GitHub
@@ -15,227 +18,7 @@ model-index:
       type: text-generation
     dataset:
       type: openai_humaneval
-      name: HumanEval (Prompted)
-    metrics:
-    - name: pass@1
-      type: pass@1
-      value: 
-      verified: false
-  - task:
-      type: text-generation
-    dataset:
-      type: openai_humaneval
-      name: HumanEval
-    metrics:
-    - name: pass@1
-      type: pass@1
-      value: 
-      verified: false
-  - task:
-      type: text-generation
-    dataset:
-      type: mbpp
-      name: MBPP
-    metrics:
-    - name: pass@1
-      type: pass@1
-      value:
-      verified: false
-  - task:
-      type: text-generation
-    dataset:
-      type: ds1000
-      name: DS-1000 (Overall Completion)
-    metrics:
-    - name: pass@1
-      type: pass@1
-      value: 
-      verified: false
-  - task:
-      type: text-generation
-    dataset:
-      type: nuprl/MultiPL-E
-      name: MultiPL-HumanEval (C++)
-    metrics:
-    - name: pass@1
-      type: pass@1
-      value: 
-      verified: false
-  - task:
-      type: text-generation
-    dataset:
-      type: nuprl/MultiPL-E
-      name: MultiPL-HumanEval (C#)
-    metrics:
-    - name: pass@1
-      type: pass@1
-      value: 
-      verified: false
-  - task:
-      type: text-generation
-    dataset:
-      type: nuprl/MultiPL-E
-      name: MultiPL-HumanEval (D)
-    metrics:
-    - name: pass@1
-      type: pass@1
-      value: 0.1357
-      verified: false
-  - task:
-      type: text-generation
-    dataset:
-      type: nuprl/MultiPL-E
-      name: MultiPL-HumanEval (Go)
-    metrics:
-    - name: pass@1
-      type: pass@1
-      value: 
-      verified: false
-  - task:
-      type: text-generation
-    dataset:
-      type: nuprl/MultiPL-E
-      name: MultiPL-HumanEval (Java)
-    metrics:
-    - name: pass@1
-      type: pass@1
-      value: 
-      verified: false
-  - task:
-      type: text-generation
-    dataset:
-      type: nuprl/MultiPL-E
-      name: MultiPL-HumanEval (Julia)
-    metrics:
-    - name: pass@1
-      type: pass@1
-      value: 
-      verified: false
-  - task:
-      type: text-generation
-    dataset:
-      type: nuprl/MultiPL-E
-      name: MultiPL-HumanEval (JavaScript)
-    metrics:
-    - name: pass@1
-      type: pass@1
-      value: 
-      verified: false
-  - task:
-      type: text-generation
-    dataset:
-      type: nuprl/MultiPL-E
-      name: MultiPL-HumanEval (Lua)
-    metrics:
-    - name: pass@1
-      type: pass@1
-      value: 
-      verified: false
-  - task:
-      type: text-generation
-    dataset:
-      type: nuprl/MultiPL-E
-      name: MultiPL-HumanEval (PHP)
-    metrics:
-    - name: pass@1
-      type: pass@1
-      value: 
-      verified: false
-  - task:
-      type: text-generation
-    dataset:
-      type: nuprl/MultiPL-E
-      name: MultiPL-HumanEval (Perl)
-    metrics:
-    - name: pass@1
-      type: pass@1
-      value: 
-      verified: false
-  - task:
-      type: text-generation
-    dataset:
-      type: nuprl/MultiPL-E
-      name: MultiPL-HumanEval (Python)
-    metrics:
-    - name: pass@1
-      type: pass@1
-      value: 
-      verified: false
-  - task:
-      type: text-generation
-    dataset:
-      type: nuprl/MultiPL-E
-      name: MultiPL-HumanEval (R)
-    metrics:
-    - name: pass@1
-      type: pass@1
-      value: 
-      verified: false
-  - task:
-      type: text-generation
-    dataset:
-      type: nuprl/MultiPL-E
-      name: MultiPL-HumanEval (Ruby)
-    metrics:
-    - name: pass@1
-      type: pass@1
-      value: 
-      verified: false
-  - task:
-      type: text-generation
-    dataset:
-      type: nuprl/MultiPL-E
-      name: MultiPL-HumanEval (Racket)
-    metrics:
-    - name: pass@1
-      type: pass@1
-      value: 
-      verified: false
-  - task:
-      type: text-generation
-    dataset:
-      type: nuprl/MultiPL-E
-      name: MultiPL-HumanEval (Rust)
-    metrics:
-    - name: pass@1
-      type: pass@1
-      value: 
-      verified: false
-  - task:
-      type: text-generation
-    dataset:
-      type: nuprl/MultiPL-E
-      name: MultiPL-HumanEval (Scala)
-    metrics:
-    - name: pass@1
-      type: pass@1
-      value: 
-      verified: false
-  - task:
-      type: text-generation
-    dataset:
-      type: nuprl/MultiPL-E
-      name: MultiPL-HumanEval (Bash)
-    metrics:
-    - name: pass@1
-      type: pass@1
-      value: 
-      verified: false
-  - task:
-      type: text-generation
-    dataset:
-      type: nuprl/MultiPL-E
-      name: MultiPL-HumanEval (Swift)
-    metrics:
-    - name: pass@1
-      type: pass@1
-      value: 
-      verified: false
-  - task:
-      type: text-generation
-    dataset:
-      type: nuprl/MultiPL-E
-      name: MultiPL-HumanEval (TypeScript)
+      name: VeriEval (Prompted)
     metrics:
     - name: pass@1
       type: pass@1
@@ -267,7 +50,7 @@ extra_gated_fields:
 
 ## Model Summary
 
-The VeriGen model is a 2B parameter model fine-tuned version of [CodeGen-multi-2B](https://github.com/salesforce/CodeGen) trained on [Verilog code dataset](https://huggingface.co/shailja/Verilog_GitHub). 
+The CodeGen models are 15.5B parameter models trained on 80+ programming languages from [The Stack (v1.2)](https://huggingface.co/datasets/bigcode/the-stack), with opt-out requests excluded. The model uses [Multi Query Attention](https://arxiv.org/abs/1911.02150), [a context window of 8192 tokens](https://arxiv.org/abs/2205.14135),  and was trained using the [Fill-in-the-Middle objective](https://arxiv.org/abs/2207.14255) on 1 trillion tokens. 
 
 - **Repository:** [shailja-thakur/VGen](https://github.com/shailja-thakur/VGen)
 - **Baseline LLM** [SalesForce/CodeGen](https://github.com/salesforce/CodeGen)