Update README.md

README.md

@@ -1,466 +1,16 @@
 ---
-pipeline_tag: text-generation
-inference: true
-widget:
-- text: 'def print_hello_world():'
-  example_title: Hello world
-  group: Python
-datasets:
-- bigcode/the-stack-dedup
-metrics:
-- code_eval
-library_namexxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx: adapter-transformers
-tags:
-- code
-- '123'
-- 1,3
-- '1234'
 model-index:
 - name: StarCoder
   results:
   - task:
       type: text-generation
     dataset:
-      type: openai_humaneval1
-      name: HumanEval1
-    metrics:
-    - name: pass@1
-      type: pass@1
-      value: 
-      verified: false
-    - name: pass@2
-      type: pass@2
-      value: 0.12345
-      verified: false
-  - task:
-      type: text-generation
-    dataset:
+      split: test
       type: openai_humaneval
-      name: HumanEval
-    metrics:
-    - name: pass@1
-      type: pass@1
-      value:
-        dataset:
-          type: openai_humaneval
-          name: HumanEval
-      args: haha
-      verified: false
-- name: StarCoder2
-  results:
-  - task:
-      type: text-generation
-    dataset:
-      type: mbpp
-      name: MBPP
-    metrics:
-    - name: pass@1
-      type: pass@1
-      value: 0.527
-      verified: false
-  - task:
-      type: text-generation
-    dataset:
-      type: ds1000
-      name: DS-1000 (Overall Completion)
-    metrics:
-    - name: pass@1
-      type: pass@1
-      value: 0.26
-      verified: false
-  - task:
-      type: text-generation
-    dataset:
-      type: nuprl/MultiPL-E
-      name: MultiPL-HumanEval (C++)
-    metrics:
-    - name: pass@1
-      type: pass@1
-      value: 0.3155
-      verified: false
-  - task:
-      type: text-generation
-    dataset:
-      type: nuprl/MultiPL-E
-      name: MultiPL-HumanEval (C#)
-    metrics:
-    - name: pass@1
-      type: pass@1
-      value: 0.2101
-      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: 0.1761
-      verified: false
-  - task:
-      type: text-generation
-    dataset:
-      type: nuprl/MultiPL-E
-      name: MultiPL-HumanEval (Java)
-    metrics:
-    - name: pass@1
-      type: pass@1
-      value: 0.3022
-      verified: false
-  - task:
-      type: text-generation
-    dataset:
-      type: nuprl/MultiPL-E
-      name: MultiPL-HumanEval (Julia)
-    metrics:
-    - name: pass@1
-      type: pass@1
-      value: 0.2302
-      verified: false
-  - task:
-      type: text-generation
-    dataset:
-      type: nuprl/MultiPL-E
-      name: MultiPL-HumanEval (JavaScript)
-    metrics:
-    - name: pass@1
-      type: pass@1
-      value: 0.3079
-      verified: false
-  - task:
-      type: text-generation
-    dataset:
-      type: nuprl/MultiPL-E
-      name: MultiPL-HumanEval (Lua)
+      name: HumanEval (Prompted)
     metrics:
-    - name: pass@1
-      type: pass@1
-      value: 0.2389
+    - type: pass@1
+      name: aaaa
+      value: 0.408
       verified: false
-  - task:
-      type: text-generation
-    dataset:
-      type: nuprl/MultiPL-E
-      name: MultiPL-HumanEval (PHP)
-    metrics:
-    - name: pass@1
-      type: pass@1
-      value: 0.2608
-      verified: false
-  - task:
-      type: text-generation
-    dataset:
-      type: nuprl/MultiPL-E
-      name: MultiPL-HumanEval (Perl)
-    metrics:
-    - name: pass@1
-      type: pass@1
-      value: 0.1734
-      verified: false
-  - task:
-      type: text-generation
-    dataset:
-      type: nuprl/MultiPL-E
-      name: MultiPL-HumanEval (Python)
-    metrics:
-    - name: pass@1
-      type: pass@1
-      value: 0.3357
-      verified: false
-  - task:
-      type: text-generation
-    dataset:
-      type: nuprl/MultiPL-E
-      name: MultiPL-HumanEval (R)
-    metrics:
-    - name: pass@1
-      type: pass@1
-      value: 0.155
-      verified: false
-  - task:
-      type: text-generation
-    dataset:
-      type: nuprl/MultiPL-E
-      name: MultiPL-HumanEval (Ruby)
-    metrics:
-    - name: pass@1
-      type: pass@1
-      value: 0.0124
-      verified: false
-  - task:
-      type: text-generation
-    dataset:
-      type: nuprl/MultiPL-E
-      name: MultiPL-HumanEval (Racket)
-    metrics:
-    - name: pass@1
-      type: pass@1
-      value: 0.0007
-      verified: false
-  - task:
-      type: text-generation
-    dataset:
-      type: nuprl/MultiPL-E
-      name: MultiPL-HumanEval (Rust)
-    metrics:
-    - name: pass@1
-      type: pass@1
-      value: 0.2184
-      verified: false
-  - task:
-      type: text-generation
-    dataset:
-      type: nuprl/MultiPL-E
-      name: MultiPL-HumanEval (Scala)
-    metrics:
-    - name: pass@1
-      type: pass@1
-      value: 0.2761
-      verified: false
-  - task:
-      type: text-generation
-    dataset:
-      type: nuprl/MultiPL-E
-      name: MultiPL-HumanEval (Bash)
-    metrics:
-    - name: pass@1
-      type: pass@1
-      value: 0.1046
-      verified: false
-  - task:
-      type: text-generation
-    dataset:
-      type: nuprl/MultiPL-E
-      name: MultiPL-HumanEval (Swift)
-    metrics:
-    - name: pass@1
-      type: pass@1
-      value: 0.2274
-      verified: false
-  - task:
-      type: text-generation
-    dataset:
-      type: nuprl/MultiPL-E
-      name: MultiPL-HumanEval (TypeScript)
-    metrics:
-    - name: pass@1
-      type: pass@1
-      value: 0.3229
-      verified: false
-extra_gated_prompt: >-
-  ## Model License Agreement Please read the BigCode [OpenRAIL-M
-  license](https://huggingface.co/spaces/bigcode/bigcode-model-license-agreement)
-  agreement before accepting it.
-    
-extra_gated_fields:
-  I accept the above license agreement, and will use the Model complying with the set of use restrictions and sharing requirements: checkbox
-language:
-- aa
-- af
-license: apache-2.0
----
-# Model Card for Model ID
-
-<!-- Provide a quick summary of what the model is/does. -->
-
-This modelcard aims to be a base template for new models. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/modelcard_template.md?plain=1).
-
-## Model Details
-
-### Model Description
-
-<!-- Provide a longer summary of what this model is. -->
-
-
-
-- **Developed by:** [More Information Needed]
-- **Funded by [optional]:** [More Information Needed]
-- **Shared by [optional]:** [More Information Needed]
-- **Model type:** [More Information Needed]
-- **Language(s) (NLP):** [More Information Needed]
-- **License:** [More Information Needed]
-- **Finetuned from model [optional]:** [More Information Needed]
-
-### Model Sources [optional]
-
-<!-- Provide the basic links for the model. -->
-
-- **Repository:** [More Information Needed]
-- **Paper [optional]:** [More Information Needed]
-- **Demo [optional]:** [More Information Needed]
-
-## Uses
-
-<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
-
-### Direct Use
-
-<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
-
-[More Information Needed]
-
-### Downstream Use [optional]
-
-<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
-
-[More Information Needed]
-
-### Out-of-Scope Use
-
-<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
-
-[More Information Needed]
-
-## Bias, Risks, and Limitations
-
-<!-- This section is meant to convey both technical and sociotechnical limitations. -->
-
-[More Information Needed]
-
-### Recommendations
-
-<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
-
-Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
-
-## How to Get Started with the Model
-
-Use the code below to get started with the model.
-
-[More Information Needed]
-
-## Training Details
-
-### Training Data
-
-<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
-
-[More Information Needed]
-
-### Training Procedure 
-
-<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
-
-#### Preprocessing [optional]
-
-[More Information Needed]
-
-
-#### Training Hyperparameters
-
-- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
-
-#### Speeds, Sizes, Times [optional]
-
-<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
-
-[More Information Needed]
-
-## Evaluation
-
-<!-- This section describes the evaluation protocols and provides the results. -->
-
-### Testing Data, Factors & Metrics
-
-#### Testing Data
-
-<!-- This should link to a Dataset Card if possible. -->
-
-[More Information Needed]
-
-#### Factors
-
-<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
-
-[More Information Needed]
-
-#### Metrics
-
-<!-- These are the evaluation metrics being used, ideally with a description of why. -->
-
-[More Information Needed]
-
-### Results
-
-[More Information Needed]
-
-#### Summary
-
-
-
-## Model Examination [optional]
-
-<!-- Relevant interpretability work for the model goes here -->
-
-[More Information Needed]
-
-## Environmental Impact
-
-<!-- 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).
-
-- **Hardware Type:** [More Information Needed]
-- **Hours used:** [More Information Needed]
-- **Cloud Provider:** [More Information Needed]
-- **Compute Region:** [More Information Needed]
-- **Carbon Emitted:** [More Information Needed]
-
-## Technical Specifications [optional]
-
-### Model Architecture and Objective
-
-[More Information Needed]
-
-### Compute Infrastructure
-
-[More Information Needed]
-
-#### Hardware
-
-[More Information Needed]
-
-#### Software
-
-[More Information Needed]
-
-## Citation [optional]
-
-<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
-
-**BibTeX:**
-
-[More Information Needed]
-
-**APA:**
-
-[More Information Needed]
-
-## Glossary [optional]
-
-<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
-
-[More Information Needed]
-
-## More Information [optional]
-
-[More Information Needed]
-
-## Model Card Authors [optional]
-
-[More Information Needed]
-
-## Model Card Contact
-
-[More Information Needed]
+---