End of training

README.md

@@ -25,7 +25,7 @@ model-index:
     metrics:
     - name: Wer
       type: wer
-      value: 66.73392181588903
+      value: 66.4228667507356
 ---
 
 <!-- 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-medium](https://huggingface.co/openai/whisper-medium) on the Common Voice 17.0 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.6673
-- Wer: 66.7339
+- Loss: 0.6665
+- Wer: 66.4229
 
 ## Model description
 
@@ -69,7 +69,7 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch  | Step | Validation Loss | Wer     |
 |:-------------:|:------:|:----:|:---------------:|:-------:|
-| 0.1294        | 3.8462 | 1000 | 0.6673          | 66.7339 |
+| 0.1304        | 3.8462 | 1000 | 0.6665          | 66.4229 |
 
 
 ### Framework versions

model.safetensors

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runs/Jan11_12-23-34_a039607ed033/events.out.tfevents.1736598217.a039607ed033.24.0

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training_args.bin

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