Update README.md

README.md

@@ -3,19 +3,17 @@ license: apache-2.0
 base_model: facebook/wav2vec2-base
 tags:
 - generated_from_trainer
-datasets:
-- audiofolder
 metrics:
 - accuracy
 model-index:
 - name: wav2vec2-base-finetuned-ks
   results:
   - task:
-      name: Audio Classification
+      name: DeepFake audio detection
       type: audio-classification
     dataset:
-      name: audiofolder
-      type: audiofolder
+      name: Fake or Real
+      type: Audio
       config: default
       split: validation
       args: default
@@ -23,6 +21,10 @@ model-index:
     - name: Accuracy
       type: accuracy
       value: 0.9994443415447305
+language:
+- en
+library_name: transformers
+pipeline_tag: audio-classification
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -30,7 +32,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 # wav2vec2-base-finetuned-ks
 
-This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the audiofolder dataset.
+This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the Fake or Real (FoR) dataset.
 It achieves the following results on the evaluation set:
 - Loss: 0.0031
 - Accuracy: 0.9994
@@ -79,4 +81,4 @@ The following hyperparameters were used during training:
 - Transformers 4.39.3
 - Pytorch 2.1.2
 - Datasets 2.18.0
-- Tokenizers 0.15.2
+- Tokenizers 0.15.2