Update README.md

README.md

@@ -3,11 +3,11 @@ license: apache-2.0
 tags:
 - generated_from_trainer
 datasets:
-- audiofolder
+- google/fleurs
 metrics:
 - wer
 model-index:
-- name: wav2vec2-xls-r-300m-fleurs_zu-run1
+- name: xls-r-fleurs_zu-run1
   results:
   - task:
       name: Automatic Speech Recognition
@@ -27,26 +27,12 @@ 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-asr_af-run1-fleurs_zu-run1
+# xls-r-fleurs_zu-run1
 
-This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the audiofolder dataset.
-It achieves the following results on the evaluation set:
-- Loss: 0.578752
-- Wer: 0.600381
-
-## 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): 61.41%
+- Wer (Test): 60.23%
 
 ### Training hyperparameters
 
@@ -65,7 +51,7 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Wer    |
+| Training Loss | Epoch | Step | Validation Loss | Wer (Train)    |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
 | 50 | 19.607200 | 9.162900 | 1.000000 |
 | 100 | 7.038300 | 4.738822 | 1.000000 |
@@ -94,4 +80,4 @@ The following hyperparameters were used during training:
 - Transformers 4.28.0
 - Pytorch 2.0.1+cu118
 - Datasets 2.14.4
-- Tokenizers 0.13.3
+- Tokenizers 0.13.3