End of training

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Wer
       type: wer
-      value: 32.945736434108525
+      value: 0.32945736434108525
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -33,8 +33,8 @@ 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 PolyAI/minds14 dataset.
 It achieves the following results on the evaluation set:
 - Loss: 0.6997
-- Wer Ortho: 32.9744
-- Wer: 32.9457
+- Wer Ortho: 0.3297
+- Wer: 0.3295
 
 ## Model description
 
@@ -65,9 +65,9 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch   | Step | Validation Loss | Wer Ortho | Wer     |
-|:-------------:|:-------:|:----:|:---------------:|:---------:|:-------:|
-| 0.0006        | 17.8571 | 500  | 0.6997          | 32.9744   | 32.9457 |
+| Training Loss | Epoch   | Step | Validation Loss | Wer Ortho | Wer    |
+|:-------------:|:-------:|:----:|:---------------:|:---------:|:------:|
+| 0.0006        | 17.8571 | 500  | 0.6997          | 0.3297    | 0.3295 |
 
 
 ### Framework versions

model.safetensors

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training_args.bin

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