End of training

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Wer
       type: wer
-      value: 0.33127631200481134
+      value: 0.33250529508668253
 ---
 
 <!-- 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: 0.2181
-- Wer: 0.3313
+- Loss: 0.2213
+- Wer: 0.3325
 
 ## Model description
 
@@ -67,9 +67,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Wer    |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 3.6574        | 0.85  | 400  | 0.6723          | 0.7745 |
-| 0.4151        | 1.7   | 800  | 0.2921          | 0.4441 |
-| 0.2202        | 2.56  | 1200 | 0.2181          | 0.3313 |
+| 3.6259        | 0.85  | 400  | 0.6826          | 0.8552 |
+| 0.344         | 1.7   | 800  | 0.2798          | 0.4271 |
+| 0.1695        | 2.56  | 1200 | 0.2213          | 0.3325 |
 
 
 ### Framework versions

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:36f5e9ca1b7e91db70adaf95a3e3e0530eafd44a0150e57e3c02c54730426c39
+oid sha256:666f3068500a9742255ac83c243963cb7394814064695827c788306cc627093b
 size 1262037165