Update README.md

README.md

@@ -5,33 +5,21 @@ tags:
 metrics:
 - wer
 model-index:
-- name: xls-r-asr_xh-run3
+- name: xls-r-asr_xh-run6
   results: []
+datasets:
+- lucas-meyer/asr_xh
 ---
 
 <!-- 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. -->
 
-# xls-r-asr_xh-run3
+# xls-r-asr_xh-run6
 
-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.
-It achieves the following results on the evaluation set:
-- Loss: 0.4484
-- Wer: 0.5021
-
-## 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 asr_xh dataset.
+It achieves the following results:
+- Wer (Validation): 53.06%
+- Wer (Test): 53.88%
 
 ### 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)    |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
 | 10.217        | 0.64  | 100  | 4.3372          | 1.0    |
 | 3.5916        | 1.27  | 200  | 3.0758          | 1.0    |
@@ -73,4 +61,4 @@ 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