update readme

README.md

@@ -1,4 +1,148 @@
 ---
-license: openrail
+license: mit
+datasets:
+- GAIR/lima
+- OpenAssistant/oasst1
+- databricks/databricks-dolly-15k
+- cnn_dailymail
+- ai2_arc
+language:
+- en
+metrics:
+- lhy/ranking_loss
+library_name: transformers
+pipeline_tag: text-generation
 ---
-# TSOTSALLM
+---
+# For reference on model card metadata, see the spec: https://github.com/huggingface/hub-docs/blob/main/modelcard.md?plain=1
+# Doc / guide: https://huggingface.co/docs/hub/model-cards
+{{ card_data }}
+---
+
+# Model Card for TSOTSALLM
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+## 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. -->
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+## How to Get Started with the Model
+
+## 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. -->
+
+### 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]
+
+
+#### Training Hyperparameters
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+## 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. -->
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+{{ testing_metrics | default("[More Information Needed]", true)}}
+
+### Results
+
+{{ results | default("[More Information Needed]", true)}}
+
+#### Summary
+
+{{ results_summary | default("", true) }}
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+{{ model_examination | default("[More Information Needed]", true)}}
+
+## 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).
+
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+### Compute Infrastructure
+
+#### Hardware
+
+#### Software
+
+## 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. -->
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+
+## More Information [optional]
+
+
+## Model Card Authors [optional]
+
+## Model Card Contact