Update README.md

README.md

@@ -2,7 +2,7 @@
 tags:
 - generated_from_trainer
 datasets:
-- audiofolder
+- google/fleurs
 metrics:
 - wer
 model-index:
@@ -28,24 +28,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # xls-r-fleurs_nl-run4
 
-This model was trained from scratch on the audiofolder dataset.
-It achieves the following results on the evaluation set:
-- Loss: 0.6473
-- Wer: 0.4606
-
-## Model description
-
-More information needed
-
-## Intended uses & limitations
-
-More information needed
-
-## Training and evaluation data
-
-More information needed
-
-## Training procedure
+This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the FLEURS (nl) dataset.
+It achieves the following results:
+- Wer (Validation): 42.94%
+- Wer (Test): 43.74%
 
 ### Training hyperparameters
 
@@ -64,7 +50,7 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Wer    |
+| Training Loss | Epoch | Step | Validation Loss | Wer (Train)    |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
 | 0.1216        | 1.55  | 100  | 0.5803          | 0.4294 |
 | 0.0775        | 3.1   | 200  | 0.6325          | 0.4420 |
@@ -76,4 +62,4 @@ The following hyperparameters were used during training:
 - Transformers 4.28.0
 - Pytorch 2.0.1+cu117
 - Datasets 2.14.4
-- Tokenizers 0.13.3
+- Tokenizers 0.13.3