End of training

README.md

@@ -24,7 +24,7 @@ model-index:
       args: 'config: zh, split: test'
     metrics:
     - type: wer
-      value: 56.30235954192606
+      value: 56.2793021289678
       name: Wer
 ---
 
@@ -35,9 +35,9 @@ 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 11.0 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.3847
-- Wer Ortho: 60.7356
-- Wer: 56.3024
+- Loss: 0.3845
+- Wer Ortho: 60.7551
+- Wer: 56.2793
 
 ## Model description
 
@@ -70,13 +70,13 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch  | Step | Validation Loss | Wer Ortho | Wer     |
 |:-------------:|:------:|:----:|:---------------:|:---------:|:-------:|
-| 0.272         | 1.9608 | 500  | 0.3847          | 60.7356   | 56.3024 |
+| 0.272         | 1.9608 | 500  | 0.3845          | 60.7551   | 56.2793 |
 
 
 ### Framework versions
 
 - PEFT 0.13.2
 - Transformers 4.45.2
-- Pytorch 1.12.0+cu113
+- Pytorch 1.12.0
 - Datasets 3.0.2
 - Tokenizers 0.20.1

adapter_model.safetensors

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runs/Mar06_17-01-08_DESKTOP-UA9TU91/events.out.tfevents.1741254936.DESKTOP-UA9TU91.22192.1

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