End of training

README.md

@@ -25,7 +25,7 @@ model-index:
     metrics:
     - name: Wer
       type: wer
-      value: 64.04371584699453
+      value: 66.73392181588903
 ---
 
 <!-- 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: 0.6691
-- Wer: 64.0437
+- Loss: 0.6673
+- Wer: 66.7339
 
 ## Model description
 
@@ -69,7 +69,7 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch  | Step | Validation Loss | Wer     |
 |:-------------:|:------:|:----:|:---------------:|:-------:|
-| 0.1301        | 3.8462 | 1000 | 0.6691          | 64.0437 |
+| 0.1294        | 3.8462 | 1000 | 0.6673          | 66.7339 |
 
 
 ### Framework versions

model.safetensors

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runs/Jan10_21-00-36_6e7569f08c8b/events.out.tfevents.1736542840.6e7569f08c8b.34.0

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training_args.bin

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