update model card README.md

README.md

@@ -3,9 +3,21 @@ tags:
 - generated_from_trainer
 datasets:
 - evanarlian/common_voice_11_0_id_filtered
+metrics:
+- wer
 model-index:
 - name: wav2vec2-xls-r-113m-id
-  results: []
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: evanarlian/common_voice_11_0_id_filtered
+      type: evanarlian/common_voice_11_0_id_filtered
+    metrics:
+    - name: Wer
+      type: wer
+      value: 0.6403468314731113
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -14,6 +26,9 @@ should probably proofread and complete it, then remove this comment. -->
 # wav2vec2-xls-r-113m-id
 
 This model is a fine-tuned version of [evanarlian/distil-wav2vec2-xls-r-113m-id](https://huggingface.co/evanarlian/distil-wav2vec2-xls-r-113m-id) on the evanarlian/common_voice_11_0_id_filtered dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.5214
+- Wer: 0.6403
 
 ## Model description
 
@@ -46,6 +61,16 @@ The following hyperparameters were used during training:
 
 ### Training results
 
+| Training Loss | Epoch | Step | Validation Loss | Wer    |
+|:-------------:|:-----:|:----:|:---------------:|:------:|
+| 2.8452        | 0.61  | 1000 | 2.8065          | 1.0    |
+| 1.3277        | 1.22  | 2000 | 1.0774          | 0.9330 |
+| 1.025         | 1.84  | 3000 | 0.8000          | 0.8474 |
+| 0.8497        | 2.45  | 4000 | 0.6812          | 0.7669 |
+| 0.7678        | 3.06  | 5000 | 0.6125          | 0.7186 |
+| 0.6886        | 3.67  | 6000 | 0.5758          | 0.6812 |
+| 0.6318        | 4.29  | 7000 | 0.5420          | 0.6570 |
+| 0.6086        | 4.9   | 8000 | 0.5214          | 0.6403 |
 
 
 ### Framework versions