End of training

README.md

@@ -1,6 +1,6 @@
 ---
 language:
-- dv
+- ta
 license: apache-2.0
 base_model: openai/whisper-base
 tags:
@@ -24,7 +24,7 @@ model-index:
     metrics:
     - name: Wer
       type: wer
-      value: 29.439252336448597
+      value: 29.53271028037383
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -34,9 +34,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the Common Voice 13 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.6613
-- Wer Ortho: 73.2198
-- Wer: 29.4393
+- Loss: 0.6365
+- Wer Ortho: 72.2136
+- Wer: 29.5327
 
 ## Model description
 
@@ -68,7 +68,7 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer     |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:-------:|
-| 0.0027        | 20.0  | 500  | 0.6613          | 73.2198   | 29.4393 |
+| 0.003         | 20.0  | 500  | 0.6365          | 72.2136   | 29.5327 |
 
 
 ### Framework versions