Update README.md

README.md

@@ -8,6 +8,8 @@ metrics:
 model-index:
 - name: wav2vec-best-CREMA-sentiment-analysis-best3
   results: []
+datasets:
+- Supreeta03/CREMA-audioData
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -15,25 +17,15 @@ should probably proofread and complete it, then remove this comment. -->
 
 # wav2vec-best-CREMA-sentiment-analysis-best3
 
-This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on an unknown dataset.
+This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on [Supreeta03/CREMA-audioData](https://huggingface.co/datasets/Supreeta03/CREMA-audioData).
 It achieves the following results on the evaluation set:
-- Top2 Accuracy: 0.7824
+- top2 Accuracy: 0.7824
 - Loss: 1.1563
 - Accuracy: 0.5601
 
 ## Model description
 
-More information needed
-
-## Intended uses & limitations
-
-More information needed
-
-## Training and evaluation data
-
-More information needed
-
-## Training procedure
+Fine tuned from [facebook/wav2vec2-base] for performing sentiment analysis on audio data.
 
 ### Training hyperparameters
 
@@ -80,4 +72,4 @@ The following hyperparameters were used during training:
 - Transformers 4.38.2
 - Pytorch 2.2.1+cu121
 - Datasets 2.18.0
-- Tokenizers 0.15.2
+- Tokenizers 0.15.2