Update README.md

README.md

@@ -9,6 +9,8 @@ metrics:
 model-index:
 - name: distilbert-base-uncased-finetuned-emotion
   results: []
+datasets:
+- dair-ai/emotion
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -16,7 +18,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 # distilbert-base-uncased-finetuned-emotion
 
-This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
+This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the emotions dataset.
 It achieves the following results on the evaluation set:
 - Loss: 0.2170
 - Accuracy: 0.926
@@ -32,7 +34,7 @@ More information needed
 
 ## Training and evaluation data
 
-More information needed
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/6595d87eb02e572eb0b28b3d/b3oW_AabCwW0vMF88Yya4.png)
 
 ## Training procedure
 
@@ -60,4 +62,4 @@ The following hyperparameters were used during training:
 - Transformers 4.42.4
 - Pytorch 2.4.0+cu121
 - Datasets 2.21.0
-- Tokenizers 0.19.1
+- Tokenizers 0.19.1