End of training

README.md

@@ -25,7 +25,7 @@ model-index:
     metrics:
     - name: Wer
       type: wer
-      value: 39.41388829900191
+      value: 40.28456147802081
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -35,8 +35,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 11.0 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.1887
-- Wer: 39.4139
+- Loss: 0.2414
+- Wer: 40.2846
 
 ## Model description
 
@@ -62,17 +62,18 @@ The following hyperparameters were used during training:
 - optimizer: Use OptimizerNames.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: 2000
+- training_steps: 5000
 - mixed_precision_training: Native AMP
 
 ### Training results
 
 | Training Loss | Epoch  | Step | Validation Loss | Wer     |
 |:-------------:|:------:|:----:|:---------------:|:-------:|
-| 0.2011        | 0.7092 | 500  | 0.2146          | 43.8734 |
-| 0.0914        | 1.4184 | 1000 | 0.1948          | 40.3270 |
-| 0.0369        | 2.1277 | 1500 | 0.1906          | 39.2228 |
-| 0.027         | 2.8369 | 2000 | 0.1887          | 39.4139 |
+| 0.0244        | 1.4184 | 1000 | 0.2211          | 42.4506 |
+| 0.0127        | 2.8369 | 2000 | 0.2259          | 41.6437 |
+| 0.0017        | 4.2553 | 3000 | 0.2313          | 40.8792 |
+| 0.0006        | 5.6738 | 4000 | 0.2385          | 40.2209 |
+| 0.0005        | 7.0922 | 5000 | 0.2414          | 40.2846 |
 
 
 ### Framework versions

model.safetensors

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runs/Mar13_13-10-22_db946b8b8c60/events.out.tfevents.1741871423.db946b8b8c60.604.1

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