End of training

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Wer
       type: wer
-      value: 0.8247284267057244
+      value: 0.659404369583791
 ---
 
 <!-- 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: 1.1756
-- Wer: 0.8247
+- Loss: 0.9166
+- Wer: 0.6594
 
 ## Model description
 
@@ -67,9 +67,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Wer    |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 5.1164        | 0.82  | 200  | 2.9949          | 1.0    |
-| 2.8872        | 1.65  | 400  | 2.9056          | 0.9974 |
-| 2.0644        | 2.47  | 600  | 1.1756          | 0.8247 |
+| 5.0452        | 0.82  | 200  | 2.9567          | 1.0000 |
+| 2.791         | 1.65  | 400  | 2.2598          | 0.9965 |
+| 1.0624        | 2.47  | 600  | 0.9166          | 0.6594 |
 
 
 ### Framework versions

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:47b020af8e9b4816cb34c3199962ab5301b7a6ebd8a210d7d90bc35bfe0e8b06
 size 1262094573