Training finished

README.md

@@ -20,9 +20,9 @@ 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 quran-ayat-speech-to-text dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.1814
-- Wer: 492.2918
-- Cer: 253.8078
+- Loss: 0.1727
+- Wer: 399.9312
+- Cer: 210.6474
 
 ## Model description
 
@@ -50,7 +50,7 @@ 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: cosine
 - lr_scheduler_warmup_steps: 500
-- num_epochs: 13
+- num_epochs: 14
 - mixed_precision_training: Native AMP
 
 ### Training results
@@ -75,7 +75,9 @@ The following hyperparameters were used during training:
 | 0.2195        | 10.6349 | 160  | 274.8204 | 0.2206          | 514.1694 |
 | 0.2195        | 11.3175 | 170  | 289.0118 | 0.2122          | 520.3583 |
 | 0.2195        | 11.9524 | 180  | 230.2466 | 0.2032          | 469.2182 |
-| 0.2195        | 12.6349 | 190  | 0.1966   | 419.8697        | 193.6711 |
+| 0.2195        | 12.6349 | 190  | 193.6711 | 0.1966          | 419.8697 |
+| 0.166         | 13.3175 | 200  | 0.1915   | 570.1954        | 277.9654 |
+| 0.166         | 13.9524 | 210  | 0.1847   | 619.8697        | 296.8162 |
 
 
 ### Framework versions

runs/Feb13_20-31-03_8d6a8a040019/events.out.tfevents.1739478891.8d6a8a040019.292.1

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+size 453