Update README.md

README.md

@@ -6,6 +6,8 @@ metrics:
 model-index:
 - name: seq-xls-r-fleurs_zu-run3-asr_xh-run8
   results: []
+datasets:
+- lucas-meyer/asr_xh
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -13,24 +15,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # seq-xls-r-fleurs_zu-run3-asr_xh-run8
 
-This model is a fine-tuned version of [lucas-meyer/xls-r-fleurs_zu-run3](https://huggingface.co/lucas-meyer/xls-r-fleurs_zu-run3) on an unknown dataset.
-It achieves the following results on the evaluation set:
-- Loss: 0.4638
-- Wer: 0.5105
-
-## 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 [lucas-meyer/xls-r-fleurs_zu-run3](https://huggingface.co/lucas-meyer/xls-r-fleurs_zu-run3) on the asr_xh dataset.
+It achieves the following results:
+- Wer (Validation): 53.64%
+- Wer (Test): 56.86%
 
 ### Training hyperparameters
 
@@ -49,7 +37,7 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Wer    |
+| Training Loss | Epoch | Step | Validation Loss | Wer (Train)    |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
 | 3.7461        | 2.55  | 400  | 0.5001          | 0.6663 |
 | 0.4168        | 5.1   | 800  | 0.3851          | 0.5368 |
@@ -62,4 +50,4 @@ 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