End of training

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Wer
       type: wer
-      value: 64.97289972899729
+      value: 64.90514905149053
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -32,8 +32,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [cifope/whisper-small-wolof](https://huggingface.co/cifope/whisper-small-wolof) on the fleurs dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.5332
-- Wer: 64.9729
+- Loss: 1.4778
+- Wer: 64.9051
 
 ## Model description
 
@@ -68,7 +68,7 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Wer     |
 |:-------------:|:-----:|:----:|:---------------:|:-------:|
-| 1.4814        | 1.4   | 50   | 1.5332          | 64.9729 |
+| 1.3863        | 1.4   | 50   | 1.4778          | 64.9051 |
 
 
 ### Framework versions

model.safetensors

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runs/Jan28_03-15-10_7018d94f3010/events.out.tfevents.1706411711.7018d94f3010.3945.2

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training_args.bin

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