End of training

README.md

@@ -20,8 +20,8 @@ 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 zeroth_korean dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.4756
-- Cer: 16.5672
+- Loss: 0.1870
+- Cer: 9.5399
 
 ## Model description
 
@@ -47,14 +47,23 @@ The following hyperparameters were used during training:
 - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_steps: 500
-- training_steps: 1000
+- training_steps: 10000
 - mixed_precision_training: Native AMP
 
 ### Training results
 
-| Training Loss | Epoch  | Step | Validation Loss | Cer     |
-|:-------------:|:------:|:----:|:---------------:|:-------:|
-| 0.4325        | 0.7184 | 1000 | 0.4756          | 16.5672 |
+| Training Loss | Epoch  | Step  | Validation Loss | Cer     |
+|:-------------:|:------:|:-----:|:---------------:|:-------:|
+| 0.4034        | 0.7184 | 1000  | 0.4414          | 14.7103 |
+| 0.2432        | 1.4368 | 2000  | 0.3385          | 11.8208 |
+| 0.1511        | 2.1552 | 3000  | 0.2778          | 9.6734  |
+| 0.1295        | 2.8736 | 4000  | 0.2440          | 8.1855  |
+| 0.0905        | 3.5920 | 5000  | 0.2219          | 7.8321  |
+| 0.0638        | 4.3103 | 6000  | 0.2071          | 8.2915  |
+| 0.0443        | 5.0287 | 7000  | 0.1970          | 9.0766  |
+| 0.0534        | 5.7471 | 8000  | 0.1914          | 8.1069  |
+| 0.0503        | 6.4655 | 9000  | 0.1879          | 6.7682  |
+| 0.0308        | 7.1839 | 10000 | 0.1870          | 9.5399  |
 
 
 ### Framework versions

runs/Jul03_10-30-02_Airsound3/events.out.tfevents.1751506203.Airsound3.367215.1

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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-size 85518
+oid sha256:0c5048e27ff8a9d1ca5c437901ba7b85a7b6a12872de93199266815ff06cb633
+size 94630