End of training

README.md

@@ -25,7 +25,7 @@ model-index:
     metrics:
     - name: Wer
       type: wer
-      value: 36.47368708374277
+      value: 36.3317501910689
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -36,7 +36,7 @@ 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 16.0 dataset.
 It achieves the following results on the evaluation set:
 - Loss: 0.3430
-- Wer: 36.4737
+- Wer: 36.3318
 
 ## Model description
 
@@ -68,16 +68,16 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Wer     |
 |:-------------:|:-----:|:----:|:---------------:|:-------:|
-| 0.2624        | 0.41  | 1000 | 0.4720          | 46.3383 |
-| 0.2143        | 0.81  | 2000 | 0.4001          | 41.8932 |
-| 0.1133        | 1.22  | 3000 | 0.3755          | 38.6805 |
-| 0.1196        | 1.63  | 4000 | 0.3492          | 36.6661 |
-| 0.0729        | 2.03  | 5000 | 0.3430          | 36.4737 |
+| 0.2622        | 0.41  | 1000 | 0.4714          | 46.2155 |
+| 0.2145        | 0.81  | 2000 | 0.4000          | 42.0843 |
+| 0.1135        | 1.22  | 3000 | 0.3757          | 38.7570 |
+| 0.1198        | 1.63  | 4000 | 0.3489          | 36.7330 |
+| 0.0721        | 2.03  | 5000 | 0.3430          | 36.3318 |
 
 
 ### Framework versions
 
-- Transformers 4.38.2
+- Transformers 4.39.1
 - Pytorch 2.2.1+cu121
 - Datasets 2.18.0
 - Tokenizers 0.15.2

generation_config.json

@@ -262,5 +262,5 @@
     "transcribe": 50359,
     "translate": 50358
   },
-  "transformers_version": "4.38.2"
+  "transformers_version": "4.39.1"
 }