Update README.md

README.md

@@ -10,11 +10,12 @@ tags:
 model-index:
 - name: wav2vec-vm-finetune
   results: []
+language:
+- en
+metrics:
+- accuracy
 ---
 
-<!-- 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. -->
-
 # wav2vec-vm-finetune
 
 This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) for **voicemail detection**. It is trained on a dataset of call recordings to distinguish between **voicemail greetings** and **live human responses**.
@@ -40,6 +41,13 @@ The model was trained on a proprietary dataset of call recordings, labeled as:
 
 The dataset includes diverse voicemail recordings across multiple types to improve generalization.
 
+
+## Evaluation metrics
+
+The model achieved:
+- **98% accuracy** on voicemail detection.
+  
+
 ## Training procedure
 
 ### Training hyperparameters
@@ -62,4 +70,4 @@ The following hyperparameters were used during training:
 - Transformers 4.48.2
 - Pytorch 2.5.1+cu124
 - Datasets 1.18.3
-- Tokenizers 0.21.0
+- Tokenizers 0.21.0