Update README.md

README.md

@@ -4,6 +4,7 @@ tags:
 - generated_from_trainer
 datasets:
 - audiofolder
+- lucas-meyer/asr_af
 metrics:
 - wer
 model-index:
@@ -29,24 +30,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # wav2vec2-xls-r-300m-asr_af
 
-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: 0.5036
-- Wer: 0.3688
-
-## 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_af dataset.
+It achieves the following results:
+- Wer (Validation): 37.89%
+- Wer (Test): 38.41%
 
 ### Training hyperparameters
 
@@ -65,7 +52,7 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Wer    |
+| Training Loss | Epoch | Step | Validation Loss | Wer (Train)    |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
 | 4.1702        | 1.76  | 400  | 1.1378          | 0.8201 |
 | 0.6633        | 3.52  | 800  | 0.5165          | 0.4819 |
@@ -80,4 +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