MattyB95
/

VIT-ASVspoof2019-Mel_Spectrogram-Synthetic-Voice-Detection

Image Classification

Generated from Trainer

Inference Endpoints

Model card Files Files and versions Metrics Training metrics Community

MattyB95 commited on Jan 23

Commit

bb5a3bb

•

1 Parent(s): 11c0b65

Update README.md

Files changed (1) hide show

README.md +2 -2

README.md CHANGED Viewed

@@ -11,7 +11,7 @@ metrics:
 - precision
 - recall
 model-index:
-- name: vit-base-patch16-224-in21k
   results:
   - task:
       name: Image Classification
@@ -40,7 +40,7 @@ model-index:
 <!-- 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. -->
-# vit-base-patch16-224-in21k
 This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on the imagefolder dataset.
 It achieves the following results on the evaluation set:

 - precision
 - recall
 model-index:
+- name: VIT-ASVspoof2019-Mel_Spectrogram-Synthetic-Voice-Detection
   results:
   - task:
       name: Image Classification
 <!-- 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. -->
+# MattyB95/VIT-ASVspoof2019-Mel_Spectrogram-Synthetic-Voice-Detection
 This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on the imagefolder dataset.
 It achieves the following results on the evaluation set: