Update README.md

README.md

@@ -53,70 +53,27 @@ Using the model output by the learning mechanism and the binary file (.dat) outp
 
 <!-- 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]
+./build/main train_model model_dir data_dir save_dir --verbose --model model_name
 
-[More Information Needed]
+Replace:
 
+model_dir with the path to the directory containing the model
+data_dir with the dataset path
+save_dir with the directory where the trained model should be saved
+model_name with the specific model architecture to be used (e.g., convlstm).
+The --verbose flag enables detailed logging.
 
-#### Training Hyperparameters
+Run example
 
-- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+./build/main tezip --learn model/ data/  --verbose --model convlstm
 
-#### Speeds, Sizes, Times [optional]
 
-<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+## Evaluation
 
-[More Information Needed]
 
-## Evaluation
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/667233cdcbf550c42aeb6bb5/JQjtMvkBVtKvcT7bfCKlu.png)
 
 <!-- This section describes the evaluation protocols and provides the results. -->