Update README.md

README.md

@@ -6,6 +6,8 @@ tags:
 - biology
 ---
 
+# Model Card for Phikon
+
 ### BibTeX entry and citation info
 
 ```bibtex
@@ -23,12 +25,6 @@ tags:
 ```
 ---
 
-# Model Card for {{ model_id | default("Model ID", true) }}
-
-<!-- Provide a quick summary of what the model is/does. -->
-
-{{ model_summary | default("", true) }}
-
 ## Model Details
 
 ### Model Description
@@ -45,13 +41,6 @@ tags:
 - **License:** {{ license | default("[More Information Needed]", true)}}
 - **Finetuned from model [optional]:** {{ finetuned_from | default("[More Information Needed]", true)}}
 
-### Model Sources [optional]
-
-<!-- Provide the basic links for the model. -->
-
-- **Repository:** {{ repo | default("[More Information Needed]", true)}}
-- **Paper [optional]:** {{ paper | default("[More Information Needed]", true)}}
-- **Demo [optional]:** {{ demo | default("[More Information Needed]", true)}}
 
 ## Uses
 
@@ -75,115 +64,16 @@ tags:
 
 {{ out_of_scope_use | default("[More Information Needed]", true)}}
 
-## Bias, Risks, and Limitations
-
-<!-- This section is meant to convey both technical and sociotechnical limitations. -->
-
-{{ bias_risks_limitations | default("[More Information Needed]", true)}}
-
-### Recommendations
-
-<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
-
-{{ bias_recommendations | default("Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.", true)}}
-
-## How to Get Started with the Model
-
-Use the code below to get started with the model.
-
-{{ get_started_code | default("[More Information Needed]", true)}}
-
-## 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_data | default("[More Information Needed]", true)}}
-
-### 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]
-
-{{ preprocessing | default("[More Information Needed]", true)}}
-
-
-#### Training Hyperparameters
-
-- **Training regime:** {{ training_regime | default("[More Information Needed]", true)}} <!--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. -->
-
-{{ speeds_sizes_times | default("[More Information Needed]", true)}}
-
-## 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. -->
-
-{{ testing_data | default("[More Information Needed]", true)}}
-
-#### Factors
-
-<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
-
-{{ testing_factors | default("[More Information Needed]", true)}}
-
-#### 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).
-
-- **Hardware Type:** {{ hardware | default("[More Information Needed]", true)}}
-- **Hours used:** {{ hours_used | default("[More Information Needed]", true)}}
-- **Cloud Provider:** {{ cloud_provider | default("[More Information Needed]", true)}}
-- **Compute Region:** {{ cloud_region | default("[More Information Needed]", true)}}
-- **Carbon Emitted:** {{ co2_emitted | default("[More Information Needed]", true)}}
-
-## Technical Specifications [optional]
-
-### Model Architecture and Objective
-
-{{ model_specs | default("[More Information Needed]", true)}}
+## Technical Specifications
 
 ### Compute Infrastructure
 
-{{ compute_infrastructure | default("[More Information Needed]", true)}}
+All the models we built were trained on the French Jean Zay cluster
 
-#### Hardware
+### Hardware
 
-{{ hardware | default("[More Information Needed]", true)}}
+NVIDIA V100 GPUs with 32Gb RAM 
 
-#### Software
+### Software
 
-{{ software | default("[More Information Needed]", true)}}
+PyTorch 1.13.1