End of training

README.md

@@ -24,7 +24,7 @@ model-index:
     metrics:
     - name: Wer
       type: wer
-      value: 32.38381444171675
+      value: 32.32032506560569
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -34,8 +34,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 11.0 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.4731
-- Wer: 32.3838
+- Loss: 0.4679
+- Wer: 32.3203
 
 ## Model description
 
@@ -68,11 +68,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch   | Step | Validation Loss | Wer     |
 |:-------------:|:-------:|:----:|:---------------:|:-------:|
-| 0.0921        | 2.4450  | 1000 | 0.2990          | 35.0715 |
-| 0.0228        | 4.8900  | 2000 | 0.3590          | 33.8483 |
-| 0.0024        | 7.3350  | 3000 | 0.4196          | 32.5616 |
-| 0.0003        | 9.7800  | 4000 | 0.4580          | 32.3923 |
-| 0.0002        | 12.2249 | 5000 | 0.4731          | 32.3838 |
+| 0.0927        | 2.4450  | 1000 | 0.2990          | 35.1139 |
+| 0.0217        | 4.8900  | 2000 | 0.3549          | 33.7086 |
+| 0.0028        | 7.3350  | 3000 | 0.4197          | 32.7648 |
+| 0.0005        | 9.7800  | 4000 | 0.4514          | 32.3246 |
+| 0.0002        | 12.2249 | 5000 | 0.4679          | 32.3203 |
 
 
 ### Framework versions