update model card README.md

README.md

@@ -1,19 +1,11 @@
 ---
 license: apache-2.0
 tags:
-- text-classification
-- depression
-- reddit
 - generated_from_trainer
 datasets:
 - depression-reddit-cleaned
 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
 model-index:
 - name: depression-reddit-distilroberta-base
   results:
@@ -21,7 +13,7 @@ model-index:
       name: Text Classification
       type: text-classification
     dataset:
-      name: mrjunos/depression-reddit-cleaned
+      name: depression-reddit-cleaned
       type: depression-reddit-cleaned
       config: default
       split: train
@@ -29,7 +21,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.982546864899806
+      value: 0.9851325145442793
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -37,10 +29,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # depression-reddit-distilroberta-base
 
-This model is a fine-tuned version of [distilroberta-base](https://huggingface.co/distilroberta-base) on the mrjunos/depression-reddit-cleaned dataset.
+This model is a fine-tuned version of [distilroberta-base](https://huggingface.co/distilroberta-base) on the depression-reddit-cleaned dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0980
-- Accuracy: 0.9825
+- Loss: 0.0951
+- Accuracy: 0.9851
 
 ## Model description
 
@@ -71,15 +63,15 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.1792        | 0.65  | 500  | 0.1206          | 0.9709   |
-| 0.1074        | 1.29  | 1000 | 0.1155          | 0.9716   |
-| 0.0649        | 1.94  | 1500 | 0.0980          | 0.9825   |
-| 0.0243        | 2.59  | 2000 | 0.1287          | 0.9787   |
+| 0.1711        | 0.65  | 500  | 0.0821          | 0.9716   |
+| 0.1022        | 1.29  | 1000 | 0.1148          | 0.9709   |
+| 0.0595        | 1.94  | 1500 | 0.1178          | 0.9787   |
+| 0.0348        | 2.59  | 2000 | 0.0951          | 0.9851   |
 
 
 ### Framework versions
 
-- Transformers 4.28.0
+- Transformers 4.30.2
 - Pytorch 2.0.1+cu118
 - Datasets 2.13.0
 - Tokenizers 0.13.3