Update README.md

README.md

@@ -7,6 +7,8 @@ metrics:
 model-index:
 - name: xls-r-asr_af-run1
   results: []
+datasets:
+- lucas-meyer/asr_af
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -14,24 +16,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # xls-r-asr_af-run1
 
-This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on an unknown dataset.
+This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the asr_af dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.4789
-- Wer: 0.4201
-
-## Model description
-
-More information needed
-
-## Intended uses & limitations
-
-More information needed
-
-## Training and evaluation data
-
-More information needed
-
-## Training procedure
+- Wer (Validation): 42.46%
+- Wer (Test): 43.31%
 
 ### Training hyperparameters
 
@@ -50,7 +38,7 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Wer    |
+| Training Loss | Epoch | Step | Validation Loss | Wer (Train)    |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
 | 11.8837       | 0.22  | 50   | 7.3321          | 1.0    |
 | 4.9879        | 0.44  | 100  | 4.0442          | 1.0    |
@@ -86,4 +74,4 @@ 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