End of training

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Wer
       type: wer
-      value: 0.18224972173115955
+      value: 0.1933150003273751
 ---
 
 <!-- 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/w2v-bert-2.0](https://huggingface.co/facebook/w2v-bert-2.0) on the common_voice_7_0 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.2122
-- Wer: 0.1822
+- Loss: 0.2282
+- Wer: 0.1933
 
 ## Model description
 
@@ -68,11 +68,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Wer    |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 1.31          | 1.89  | 300  | 0.2527          | 0.2845 |
-| 0.112         | 3.77  | 600  | 0.2177          | 0.2326 |
-| 0.0698        | 5.66  | 900  | 0.2085          | 0.2127 |
-| 0.0426        | 7.55  | 1200 | 0.2024          | 0.1941 |
-| 0.0272        | 9.43  | 1500 | 0.2122          | 0.1822 |
+| 1.1859        | 1.89  | 300  | 0.2854          | 0.2866 |
+| 0.1137        | 3.77  | 600  | 0.2503          | 0.2469 |
+| 0.0712        | 5.66  | 900  | 0.2043          | 0.2092 |
+| 0.0446        | 7.55  | 1200 | 0.2156          | 0.2005 |
+| 0.0269        | 9.43  | 1500 | 0.2282          | 0.1933 |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:706a82b371f5f26197a15b381b40001eb25bcd132e6ec427094f5dd0d08a4ccd
+oid sha256:49e29ab849c00d9808d9dfc7012b02e68ecee0d19d8da1215f1d64dee6c512a1
 size 2422941660