Update README.md

README.md

@@ -2,11 +2,11 @@
 tags:
 - generated_from_trainer
 datasets:
-- audiofolder
+- google/fleurs
 metrics:
 - wer
 model-index:
-- name: wav2vec2-xls-r-300m-fleurs_zu-run3
+- name: xls-r-fleurs_zu-run3
   results:
   - task:
       name: Automatic Speech Recognition
@@ -26,26 +26,12 @@ 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. -->
 
-# wav2vec2-xls-r-300m-fleurs_zu-run3
+# xls-r-fleurs_zu-run3
 
-This model was trained from scratch on the audiofolder dataset.
-It achieves the following results on the evaluation set:
-- Loss: 0.5803
-- Wer: 0.5778
-
-## 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 (zu) dataset.
+It achieves the following results:
+- Wer (Validation): 57.19%
+- Wer (Test): 57.27%
 
 ### 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)   |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
 | 0.1019        | 0.28  | 50   | 0.5804          | 0.5710 |
 | 0.1136        | 0.57  | 100  | 0.5462          | 0.5745 |
@@ -79,4 +65,4 @@ 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