End of training

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Wer
       type: wer
-      value: 9.76996476224413
+      value: 9.725620620026131
 ---
 
 <!-- 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 OpenBible_Swahili_book_split dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.2541
-- Wer Ortho: 19.1300
-- Wer: 9.7700
+- Loss: 0.2544
+- Wer Ortho: 19.1244
+- Wer: 9.7256
 
 ## Model description
 
@@ -67,12 +67,12 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer    |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|
-| 0.1659        | 1.0   | 1423 | 0.2541          | 19.1300   | 9.7700 |
+| 0.1656        | 1.0   | 1423 | 0.2544          | 19.1244   | 9.7256 |
 
 
 ### Framework versions
 
-- Transformers 4.50.0
+- Transformers 4.50.2
 - Pytorch 2.6.0+cu124
 - Datasets 3.5.0
 - Tokenizers 0.21.1

generation_config.json

@@ -258,5 +258,5 @@
     "transcribe": 50359,
     "translate": 50358
   },
-  "transformers_version": "4.50.0"
+  "transformers_version": "4.50.2"
 }