End of training

README.md

@@ -24,7 +24,7 @@ model-index:
     metrics:
     - name: Wer
       type: wer
-      value: 45.67726129843337
+      value: 45.6837083360196
 ---
 
 <!-- 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: 0.2704
-- Wer: 45.6773
+- Loss: 0.2701
+- Wer: 45.6837
 
 ## Model description
 
@@ -68,12 +68,12 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch  | Step | Validation Loss | Wer     |
 |:-------------:|:------:|:----:|:---------------:|:-------:|
-| 0.1619        | 2.0325 | 500  | 0.2704          | 45.6773 |
+| 0.1621        | 2.0325 | 500  | 0.2701          | 45.6837 |
 
 
 ### Framework versions
 
-- Transformers 4.40.0
+- Transformers 4.40.1
 - Pytorch 2.1.2
 - Datasets 2.19.0
 - Tokenizers 0.19.1

generation_config.json

@@ -252,5 +252,5 @@
     "transcribe": 50359,
     "translate": 50358
   },
-  "transformers_version": "4.40.0"
+  "transformers_version": "4.40.1"
 }