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Training finished

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README.md CHANGED
@@ -20,9 +20,9 @@ should probably proofread and complete it, then remove this comment. -->
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  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.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.0080
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- - Wer: 0.1396
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- - Cer: 0.0568
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  ## Model description
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@@ -57,18 +57,18 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Wer | Cer |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|
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- | 0.0054 | 1.0 | 313 | 0.0077 | 0.1316 | 0.0467 |
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- | 0.0067 | 2.0 | 626 | 0.0078 | 0.1562 | 0.0649 |
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- | 0.0055 | 3.0 | 939 | 0.0077 | 0.1310 | 0.0502 |
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- | 0.0042 | 4.0 | 1252 | 0.0078 | 0.1336 | 0.0468 |
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- | 0.0036 | 5.0 | 1565 | 0.0078 | 0.1289 | 0.0450 |
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- | 0.0043 | 6.0 | 1878 | 0.0079 | 0.1321 | 0.0452 |
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- | 0.0036 | 7.0 | 2191 | 0.0079 | 0.1408 | 0.0528 |
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- | 0.0026 | 8.0 | 2504 | 0.0080 | 0.1334 | 0.0489 |
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- | 0.0024 | 9.0 | 2817 | 0.0081 | 0.1408 | 0.0496 |
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- | 0.0026 | 10.0 | 3130 | 0.0083 | 0.1338 | 0.0471 |
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- | 0.002 | 11.0 | 3443 | 0.0083 | 0.1374 | 0.0466 |
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- | 0.0018 | 12.0 | 3756 | 0.0085 | 0.1338 | 0.0478 |
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  ### Framework versions
 
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  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.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.0075
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+ - Wer: 0.1302
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+ - Cer: 0.0524
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Wer | Cer |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|
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+ | 0.0068 | 1.0 | 313 | 0.0074 | 0.1296 | 0.0499 |
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+ | 0.0069 | 2.0 | 626 | 0.0074 | 0.1283 | 0.0462 |
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+ | 0.0065 | 3.0 | 939 | 0.0074 | 0.1256 | 0.0446 |
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+ | 0.0047 | 4.0 | 1252 | 0.0072 | 0.1285 | 0.0451 |
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+ | 0.0043 | 5.0 | 1565 | 0.0072 | 0.1211 | 0.0428 |
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+ | 0.0042 | 6.0 | 1878 | 0.0073 | 0.1256 | 0.0470 |
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+ | 0.0033 | 7.0 | 2191 | 0.0074 | 0.1307 | 0.0473 |
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+ | 0.0036 | 8.0 | 2504 | 0.0075 | 0.1312 | 0.0481 |
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+ | 0.0034 | 9.0 | 2817 | 0.0076 | 0.1303 | 0.0485 |
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+ | 0.0024 | 10.0 | 3130 | 0.0078 | 0.1287 | 0.0470 |
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+ | 0.0026 | 11.0 | 3443 | 0.0078 | 0.1283 | 0.0466 |
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+ | 0.0019 | 12.0 | 3756 | 0.0079 | 0.1290 | 0.0464 |
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  ### Framework versions
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