End of training

README.md

@@ -24,7 +24,7 @@ model-index:
     metrics:
     - name: Wer
       type: wer
-      value: 38.645418326693225
+      value: 1.1952191235059761
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -34,8 +34,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [openai/whisper-large-v3](https://huggingface.co/openai/whisper-large-v3) on the Common Voice 17.0 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.1394
-- Wer: 38.6454
+- Loss: 0.0000
+- Wer: 1.1952
 
 ## Model description
 
@@ -66,13 +66,13 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch   | Step | Validation Loss | Wer     |
-|:-------------:|:-------:|:----:|:---------------:|:-------:|
-| 0.0408        | 3.3670  | 1000 | 0.8681          | 38.2470 |
-| 0.0094        | 6.7340  | 2000 | 1.0290          | 39.8406 |
-| 0.0012        | 10.1010 | 3000 | 1.0423          | 39.0438 |
-| 0.0004        | 13.4680 | 4000 | 1.1243          | 38.6454 |
-| 0.0002        | 16.8350 | 5000 | 1.1394          | 38.6454 |
+| Training Loss | Epoch | Step | Validation Loss | Wer    |
+|:-------------:|:-----:|:----:|:---------------:|:------:|
+| 0.0001        | 40.0  | 1000 | 0.0001          | 1.1952 |
+| 0.0           | 80.0  | 2000 | 0.0000          | 1.1952 |
+| 0.0           | 120.0 | 3000 | 0.0000          | 1.1952 |
+| 0.0           | 160.0 | 4000 | 0.0000          | 1.1952 |
+| 0.0           | 200.0 | 5000 | 0.0000          | 1.1952 |
 
 
 ### Framework versions

model-00001-of-00002.safetensors

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model-00002-of-00002.safetensors

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runs/Jun02_04-20-05_bb3effc12d1f/events.out.tfevents.1717302007.bb3effc12d1f.422.0

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