Update README.md

README.md

@@ -1,5 +1,13 @@
 ---
 license: apache-2.0
+datasets:
+- openbmb/Ultra-FineWeb
+- Avelina/python-edu-cleaned
+- HuggingFaceTB/finemath
+language:
+- en
+- zh
+pipeline_tag: text-generation
 ---
 
 # Model Card for Model ID
@@ -40,48 +48,10 @@ Overall, these techniques allowed the model to be losslessly trained for 110k st
 
 ![image/png](https://cdn-uploads.huggingface.co/production/uploads/66a767dcbe4c3c2683495a8b/L7AuCdoEGrEVprBKIbks2.png)
 
-### 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
 
 Download the files from the repo and place all the files in the same folder. Then, run the cells in the notebook.
@@ -204,113 +174,14 @@ In the early 1900s the scientific community found that Darwin's theories would p
 
 Unfortunately Charles Darwin died before 1886, but at least it got the name of the book correct!
 
-## 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. -->
+### Bias, Risks, and Limitations
 
-[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]
-
-## Model Card Contact
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
 
-[More Information Needed]
+Sadly, a 200M model is not perfect. For example, when prompted for '''The radius of the Earth''', it generates the text:
+```
+<s> The radius of the Earth is a measure of almost exactly 375,000 miles.
+Scientists have long wondered what the planet was like long ago. Because of how old the Earth is—that is, the oldest part of it—we know that the Earth’s radius is about 670,000 miles. A few years later, an Australian astronomer determined that our planet’s mass is 12 times as massive as Earth.
+Now, using data from NASA’s GOES-1 spacecraft, the Australian astronomer believes that we are at least 34 billion years old and possesses
+```
+which is off by a factor of around 100. Thus, despite impressive factuality in some areas and powerful language capabilities, all outputs from this model should be reviewed carefully.