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End of training

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  1. README.md +26 -16
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@@ -19,8 +19,8 @@ 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 TAT ASR Aligned dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.5581
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- - Cer: 10.2914
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  ## Model description
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@@ -45,24 +45,34 @@ The following hyperparameters were used during training:
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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- - lr_scheduler_warmup_steps: 681
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- - training_steps: 6810
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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 | Cer |
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- |:-------------:|:------:|:----:|:---------------:|:-------:|
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- | 0.3523 | 0.9985 | 681 | 0.4273 | 15.0771 |
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- | 0.2104 | 1.9971 | 1362 | 0.3778 | 12.2058 |
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- | 0.1224 | 2.9956 | 2043 | 0.3942 | 11.9977 |
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- | 0.0738 | 3.9941 | 2724 | 0.4164 | 11.9422 |
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- | 0.0423 | 4.9927 | 3405 | 0.4579 | 11.4839 |
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- | 0.0216 | 5.9912 | 4086 | 0.4818 | 11.3165 |
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- | 0.0107 | 6.9897 | 4767 | 0.5189 | 10.9872 |
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- | 0.0036 | 7.9883 | 5448 | 0.5398 | 10.8198 |
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- | 0.0012 | 8.9868 | 6129 | 0.5509 | 10.3179 |
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- | 0.0006 | 9.9853 | 6810 | 0.5581 | 10.2914 |
 
 
 
 
 
 
 
 
 
 
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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 TAT ASR Aligned dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.6536
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+ - Cer: 10.3016
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  ## Model description
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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+ - lr_scheduler_warmup_steps: 1362
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+ - training_steps: 13620
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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 | Cer |
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+ |:-------------:|:-------:|:-----:|:---------------:|:-------:|
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+ | 0.371 | 0.9985 | 681 | 0.4334 | 14.4492 |
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+ | 0.2637 | 1.9971 | 1362 | 0.3950 | 13.0672 |
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+ | 0.1725 | 2.9956 | 2043 | 0.3962 | 12.1858 |
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+ | 0.1102 | 3.9941 | 2724 | 0.4102 | 11.8710 |
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+ | 0.0715 | 4.9927 | 3405 | 0.4442 | 11.9113 |
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+ | 0.0467 | 5.9912 | 4086 | 0.4830 | 12.2436 |
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+ | 0.0322 | 6.9897 | 4767 | 0.5100 | 11.6466 |
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+ | 0.0234 | 7.9883 | 5448 | 0.5315 | 11.5878 |
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+ | 0.0182 | 8.9868 | 6129 | 0.5542 | 11.8786 |
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+ | 0.012 | 9.9853 | 6810 | 0.5834 | 11.5762 |
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+ | 0.0083 | 10.9839 | 7491 | 0.5833 | 11.4945 |
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+ | 0.0061 | 11.9824 | 8172 | 0.6000 | 11.1774 |
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+ | 0.0045 | 12.9809 | 8853 | 0.6136 | 11.0700 |
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+ | 0.0027 | 13.9795 | 9534 | 0.6144 | 10.8808 |
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+ | 0.0008 | 14.9780 | 10215 | 0.6320 | 10.6295 |
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+ | 0.0006 | 15.9765 | 10896 | 0.6380 | 10.6150 |
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+ | 0.0003 | 16.9751 | 11577 | 0.6385 | 10.4755 |
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+ | 0.0003 | 17.9736 | 12258 | 0.6498 | 10.4047 |
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+ | 0.0001 | 18.9721 | 12939 | 0.6537 | 10.3546 |
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+ | 0.0001 | 19.9707 | 13620 | 0.6536 | 10.3016 |
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  ### Framework versions