End of training

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Wer
       type: wer
-      value: 48.46568136272545
+      value: 42.93587174348698
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -32,9 +32,9 @@ 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 fleurs dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.7713
-- Wer Ortho: 48.1213
-- Wer: 48.4657
+- Loss: 0.6053
+- Wer Ortho: 42.7019
+- Wer: 42.9359
 
 ## Model description
 
@@ -67,12 +67,12 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch  | Step | Validation Loss | Wer Ortho | Wer     |
 |:-------------:|:------:|:----:|:---------------:|:---------:|:-------:|
-| 0.072         | 2.7174 | 500  | 0.7713          | 48.1213   | 48.4657 |
+| 0.0892        | 2.4155 | 500  | 0.6053          | 42.7019   | 42.9359 |
 
 
 ### Framework versions
 
 - Transformers 4.40.1
 - Pytorch 2.2.1+cu121
-- Datasets 2.19.0
+- Datasets 2.19.1
 - Tokenizers 0.19.1