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Baselhany
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Whisper_tiny_tring_large_sample_with_early_stop2

Automatic Speech Recognition
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whisper
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  1. README.md +21 -11
  2. runs/Jan27_16-03-29_0cbc9558e611/events.out.tfevents.1738025995.0cbc9558e611.18.1 +3 -0
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: 0.0111
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- - Wer: 0.1829
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- - Cer: 0.0676
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  ## Model description
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@@ -50,18 +50,28 @@ The following hyperparameters were used during training:
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  - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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  - lr_scheduler_type: linear
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  - lr_scheduler_warmup_steps: 500
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- - num_epochs: 10
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  - mixed_precision_training: Native AMP
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss | Wer | Cer |
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- |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|
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- | 0.0037 | 1.0 | 469 | 0.0114 | 0.1557 | 0.0492 |
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- | 0.0045 | 2.0 | 938 | 0.0117 | 0.1553 | 0.0499 |
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- | 0.0033 | 3.0 | 1407 | 0.0116 | 0.1580 | 0.0513 |
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- | 0.0024 | 4.0 | 1876 | 0.0117 | 0.1558 | 0.0499 |
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- | 0.0029 | 5.0 | 2345 | 0.0119 | 0.1569 | 0.0525 |
 
 
 
 
 
 
 
 
 
 
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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: 0.0100
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+ - Wer: 0.1520
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+ - Cer: 0.0580
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  ## Model description
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  - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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  - lr_scheduler_type: linear
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  - lr_scheduler_warmup_steps: 500
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+ - num_epochs: 15
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  - mixed_precision_training: Native AMP
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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss | Wer | Cer |
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+ |:-------------:|:-------:|:----:|:---------------:|:------:|:------:|
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+ | 0.0083 | 1.0 | 313 | 0.0106 | 0.1573 | 0.0532 |
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+ | 0.0075 | 2.0 | 626 | 0.0103 | 0.1544 | 0.0535 |
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+ | 0.0076 | 3.0 | 939 | 0.0097 | 0.1605 | 0.0581 |
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+ | 0.0059 | 4.0 | 1252 | 0.0095 | 0.1582 | 0.0562 |
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+ | 0.0056 | 5.0 | 1565 | 0.0094 | 0.1533 | 0.0623 |
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+ | 0.0064 | 6.0 | 1878 | 0.0094 | 0.1736 | 0.0610 |
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+ | 0.0052 | 7.0 | 2191 | 0.0094 | 0.1560 | 0.0560 |
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+ | 0.0046 | 8.0 | 2504 | 0.0093 | 0.1674 | 0.0567 |
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+ | 0.0036 | 9.0 | 2817 | 0.0096 | 0.1437 | 0.0482 |
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+ | 0.0036 | 10.0 | 3130 | 0.0095 | 0.1522 | 0.0518 |
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+ | 0.0032 | 11.0 | 3443 | 0.0095 | 0.1508 | 0.0520 |
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+ | 0.0023 | 12.0 | 3756 | 0.0096 | 0.1466 | 0.0487 |
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+ | 0.0028 | 13.0 | 4069 | 0.0096 | 0.1426 | 0.0461 |
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+ | 0.0028 | 14.0 | 4382 | 0.0100 | 0.1508 | 0.0582 |
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+ | 0.0023 | 14.9536 | 4680 | 0.0097 | 0.1403 | 0.0455 |
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  ### Framework versions
runs/Jan27_16-03-29_0cbc9558e611/events.out.tfevents.1738025995.0cbc9558e611.18.1 ADDED
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:80b2005bab4c6a7939e6813677c16753e17581580f332e38b2b9e07c6e06d7ad
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+ size 453