Update README.md

README.md

@@ -5,33 +5,18 @@ tags:
 metrics:
 - wer
 model-index:
-- name: wav2vec2-xls-r-300m-asr_xh-run2
+- name: xls-r-asr_xh-run5
   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-run5
 
-# wav2vec2-xls-r-300m-asr_xh-run2
-
-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: 0.4952
-- Wer: 0.5546
-
-## 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): 
+- Wer (Test): 
 
 ### Training hyperparameters
 
@@ -50,7 +35,7 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Wer    |
+| Training Loss | Epoch | Step | Validation Loss | Wer (Train)    |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
 | 14.5246       | 0.64  | 50   | 8.0044          | 1.0    |
 | 5.7225        | 1.27  | 100  | 4.2174          | 1.0    |
@@ -82,4 +67,4 @@ 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