update model card README.md

README.md

@@ -3,7 +3,7 @@ license: apache-2.0
 tags:
 - generated_from_trainer
 datasets:
-- superb
+- minds14
 metrics:
 - accuracy
 model-index:
@@ -16,10 +16,10 @@ 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 superb dataset.
+This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the minds14 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0883
-- Accuracy: 0.9838
+- Loss: 2.6374
+- Accuracy: 0.0619
 
 ## Model description
 
@@ -53,16 +53,16 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.6658        | 1.0   | 399  | 0.5420          | 0.9600   |
-| 0.2939        | 2.0   | 798  | 0.1701          | 0.9778   |
-| 0.1851        | 3.0   | 1197 | 0.1065          | 0.9809   |
-| 0.1676        | 4.0   | 1596 | 0.0883          | 0.9838   |
-| 0.1191        | 5.0   | 1995 | 0.0833          | 0.9832   |
+| No log        | 0.8   | 3    | 2.6374          | 0.0619   |
+| No log        | 1.8   | 6    | 2.6433          | 0.0619   |
+| No log        | 2.8   | 9    | 2.6508          | 0.0531   |
+| 3.2258        | 3.8   | 12   | 2.6540          | 0.0531   |
+| 3.2258        | 4.8   | 15   | 2.6592          | 0.0442   |
 
 
 ### Framework versions
 
 - Transformers 4.23.1
 - Pytorch 1.12.1+cu113
-- Datasets 2.5.2
+- Datasets 2.6.0
 - Tokenizers 0.13.1