Update README.md

README.md

@@ -1,41 +1,31 @@
 ---
 library_name: transformers
-tags: []
+license: mit
+pipeline_tag: text-classification
 ---
 
-# Model Card for Model ID
+# Bert Samba
 
 <!-- Provide a quick summary of what the model is/does. -->
 
 
 
-## Model Details
-
 ### Model Description
 
-<!-- Provide a longer summary of what this model is. -->
-
-This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
-
-- **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]
+This model is a fine-tuned version of `bert-base-uncased`, specifically adapted for text classification tasks related to Samba log data. It is designed to classify log entries into various categories based on their content. The model has been trained on a dataset of Samba logs to identify and categorize different types of log events.
 
-### Model Sources [optional]
-
-<!-- Provide the basic links for the model. -->
-
-- **Repository:** [More Information Needed]
-- **Paper [optional]:** [More Information Needed]
-- **Demo [optional]:** [More Information Needed]
+- **Developed by:** Tonynhan
+- **Model type:** BERT (Bidirectional Encoder Representations from Transformers)
+- **Language(s):** English
+- **License:** MIT
+- **Finetuned from model:** `bert-base-uncased`
 
 ## 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. -->
+text classification 0 = rename, 1 = create, 2 = delete,....
+class_names = ['rename', 'create', 'delete', "download", "write"]
+
 
 ### Direct Use