End of training

README.md

@@ -25,7 +25,7 @@ model-index:
     metrics:
     - name: Wer
       type: wer
-      value: 1.506768634596384
+      value: 1.5234367982754418
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -36,7 +36,7 @@ should probably proofread and complete it, then remove this comment. -->
 This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the Common Voice 17.0 dataset.
 It achieves the following results on the evaluation set:
 - Loss: 0.2913
-- Wer: 1.5068
+- Wer: 1.5234
 
 ## Model description
 
@@ -69,10 +69,10 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch  | Step | Validation Loss | Wer    |
 |:-------------:|:------:|:----:|:---------------:|:------:|
-| 0.2192        | 0.2773 | 1000 | 0.3591          | 1.1292 |
-| 0.2075        | 0.5546 | 2000 | 0.3165          | 1.1155 |
-| 0.1881        | 0.8319 | 3000 | 0.2994          | 1.5204 |
-| 0.1504        | 1.1093 | 4000 | 0.2913          | 1.5068 |
+| 0.2192        | 0.2773 | 1000 | 0.3592          | 1.1204 |
+| 0.2076        | 0.5546 | 2000 | 0.3164          | 1.1192 |
+| 0.1881        | 0.8319 | 3000 | 0.2993          | 1.5272 |
+| 0.1504        | 1.1093 | 4000 | 0.2913          | 1.5234 |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:b7270b7b5e57f55262af33bc745680c06b7ba79911ad0daa831edded71f3b0e6
 size 290403936