End of training

README.md

@@ -25,7 +25,7 @@ model-index:
     metrics:
     - name: Wer
       type: wer
-      value: 67.60586678429644
+      value: 67.5966769592707
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -35,8 +35,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the Common Voice 16.1 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.6267
-- Wer: 67.6059
+- Loss: 0.6268
+- Wer: 67.5967
 
 ## Model description
 
@@ -69,15 +69,15 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch  | Step | Validation Loss | Wer     |
 |:-------------:|:------:|:----:|:---------------:|:-------:|
-| 0.6119        | 0.4122 | 1000 | 0.7503          | 75.1415 |
-| 0.5206        | 0.8244 | 2000 | 0.6736          | 70.3904 |
-| 0.4317        | 1.2366 | 3000 | 0.6404          | 67.5599 |
-| 0.411         | 1.6488 | 4000 | 0.6267          | 67.6059 |
+| 0.6119        | 0.4122 | 1000 | 0.7504          | 75.0551 |
+| 0.5207        | 0.8244 | 2000 | 0.6737          | 70.3849 |
+| 0.4322        | 1.2366 | 3000 | 0.6406          | 67.6224 |
+| 0.4113        | 1.6488 | 4000 | 0.6268          | 67.5967 |
 
 
 ### Framework versions
 
-- Transformers 4.48.1
+- Transformers 4.48.3
 - Pytorch 2.5.1+cu124
 - Datasets 3.2.0
 - Tokenizers 0.21.0

generation_config.json

@@ -236,5 +236,5 @@
     "transcribe": 50359,
     "translate": 50358
   },
-  "transformers_version": "4.48.1"
+  "transformers_version": "4.48.3"
 }