Update README.md

README.md

@@ -10,10 +10,19 @@ datasets:
 metrics:
 - accuracy
 widget:
-  - text: ["i just found out my boyfriend is depressed i really want to be there for him but i feel like i ve only been saying the wrong thing how can i be there for him help him and see him get better i m worried it will continue to the point it will consume him i can already see his personality changing and i m scared for the future what thing can i say or do to comfort or help"]
-    example_title: depression
-  - text: ["i m getting more and more people asking where they can buy the ambients album simple answer is quot not yet quot it ll be on itunes eventually"]      
-    example_title: not_depression
+- text:
+  - >-
+    i just found out my boyfriend is depressed i really want to be there for him
+    but i feel like i ve only been saying the wrong thing how can i be there for
+    him help him and see him get better i m worried it will continue to the
+    point it will consume him i can already see his personality changing and i m
+    scared for the future what thing can i say or do to comfort or help
+  example_title: depression
+- text:
+  - >-
+    i m getting more and more people asking where they can buy the ambients
+    album simple answer is quot not yet quot it ll be on itunes eventually
+  example_title: not_depression
 model-index:
 - name: depression-reddit-distilroberta-base
   results:
@@ -30,13 +39,14 @@ model-index:
     - name: Accuracy
       type: accuracy
       value: 0.9715578539107951
+language:
+- en
+pipeline_tag: text-classification
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 should probably proofread and complete it, then remove this comment. -->
 
-# depression-reddit-distilroberta-base
-
 ## Example Pipeline
 
 ```python
@@ -48,6 +58,10 @@ predict_task("Stop listing your issues here, use forum instead or open ticket.")
 [{'label': 'not_depression', 'score': 0.9813856482505798}]
 ```
 
+Disclaimer: This machine learning model classifies texts related to depression, but I am not an expert or a mental health professional. 
+I do not intend to diagnose or offer medical advice. The information provided should not replace consultation with a qualified professional. 
+The results may not be accurate. Use this model at your own risk and seek professional advice if needed.
+
 This model is a fine-tuned version of [distilroberta-base](https://huggingface.co/distilroberta-base) on the mrjunos/depression-reddit-cleaned dataset.
 It achieves the following results on the evaluation set:
 - Loss: 0.0821
@@ -103,4 +117,4 @@ The following hyperparameters were used during training:
 - Transformers 4.30.2
 - Pytorch 2.0.1+cu118
 - Datasets 2.13.0
-- Tokenizers 0.13.3
+- Tokenizers 0.13.3