End of training

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Wer
       type: wer
-      value: 0.25583766963888815
+      value: 0.2787176738226604
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -32,8 +32,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the common_voice dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.2072
-- Wer: 0.2558
+- Loss: 0.2291
+- Wer: 0.2787
 
 ## Model description
 
@@ -67,10 +67,10 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Wer    |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 0.2423        | 1.28  | 600  | 0.2974          | 0.4100 |
-| 0.1685        | 2.56  | 1200 | 0.2354          | 0.3337 |
-| 0.107         | 3.83  | 1800 | 0.2234          | 0.2835 |
-| 0.0684        | 5.11  | 2400 | 0.2072          | 0.2558 |
+| 2.1152        | 1.49  | 700  | 0.3510          | 0.4973 |
+| 0.1969        | 2.98  | 1400 | 0.2552          | 0.3643 |
+| 0.1027        | 4.47  | 2100 | 0.2379          | 0.3108 |
+| 0.0648        | 5.96  | 2800 | 0.2291          | 0.2787 |
 
 
 ### Framework versions

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:f6d5bbb752a8e009ba0bda542896fc03d967a004a6c38b98dc3a1205ac913540
 size 1262033069