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: 0.0125
-- Wer: 0.1370
-- Cer: 0.0480
+- Loss: 0.0109
+- Wer: 0.1246
+- Cer: 0.0445
 
 ## Model description
 
@@ -57,11 +57,10 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Wer    | Cer    |
 |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|
-| 0.0123        | 1.0   | 157  | 0.0128          | 0.1433 | 0.0533 |
-| 0.0092        | 2.0   | 314  | 0.0121          | 0.1300 | 0.0442 |
-| 0.0056        | 3.0   | 471  | 0.0140          | 0.1457 | 0.0512 |
-| 0.0044        | 4.0   | 628  | 0.0147          | 0.1524 | 0.0528 |
-| 0.0027        | 5.0   | 785  | 0.0167          | 0.1539 | 0.0521 |
+| 0.0147        | 1.0   | 157  | 0.0106          | 0.1202 | 0.0426 |
+| 0.0079        | 2.0   | 314  | 0.0113          | 0.1280 | 0.0437 |
+| 0.0058        | 3.0   | 471  | 0.0132          | 0.1377 | 0.0494 |
+| 0.0041        | 4.0   | 628  | 0.0144          | 0.1430 | 0.0462 |
 
 
 ### Framework versions

model.safetensors

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 version https://git-lfs.github.com/spec/v1
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 size 151061672

runs/Jan17_14-57-52_483bb2c2a897/events.out.tfevents.1737129379.483bb2c2a897.18.1

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+version https://git-lfs.github.com/spec/v1
+oid sha256:cc81e12414c7afdbad0a10d68b5e900be381df9ee63312ebeac8389e13057942
+size 453