End of training

README.md

@@ -24,7 +24,7 @@ model-index:
     metrics:
     - name: Wer
       type: wer
-      value: 13.450638105504748
+      value: 13.429773620335919
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -34,9 +34,9 @@ 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 Common Voice 13 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.1741
-- Wer Ortho: 62.8247
-- Wer: 13.4506
+- Loss: 0.1728
+- Wer Ortho: 62.7969
+- Wer: 13.4298
 
 ## Model description
 
@@ -69,12 +69,12 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch  | Step | Validation Loss | Wer Ortho | Wer     |
 |:-------------:|:------:|:----:|:---------------:|:---------:|:-------:|
-| 0.1207        | 1.6287 | 500  | 0.1741          | 62.8247   | 13.4506 |
+| 0.1201        | 1.6287 | 500  | 0.1728          | 62.7969   | 13.4298 |
 
 
 ### Framework versions
 
-- Transformers 4.41.1
+- Transformers 4.42.4
 - Pytorch 2.3.0+cu121
-- Datasets 2.19.1
+- Datasets 2.20.0
 - Tokenizers 0.19.1

generation_config.json

@@ -260,5 +260,5 @@
     "transcribe": 50359,
     "translate": 50358
   },
-  "transformers_version": "4.41.1"
+  "transformers_version": "4.42.4"
 }