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Training in progress, step 4000

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README.md CHANGED
@@ -16,7 +16,12 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [Sana1207/Hindi_SpeechT5_finetuned](https://huggingface.co/Sana1207/Hindi_SpeechT5_finetuned) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.4887
 
 
 
 
 
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  ## Model description
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@@ -47,62 +52,6 @@ The following hyperparameters were used during training:
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  - training_steps: 5000
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  - mixed_precision_training: Native AMP
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- ### Training results
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-
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- | Training Loss | Epoch | Step | Validation Loss |
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- |:-------------:|:-------:|:----:|:---------------:|
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- | 0.5769 | 0.3992 | 100 | 0.5673 |
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- | 0.5602 | 0.7984 | 200 | 0.5603 |
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- | 0.553 | 1.1986 | 300 | 0.5489 |
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- | 0.5413 | 1.5978 | 400 | 0.5433 |
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- | 0.5361 | 1.9970 | 500 | 0.5336 |
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- | 0.5391 | 2.3972 | 600 | 0.5414 |
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- | 0.524 | 2.7964 | 700 | 0.5290 |
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- | 0.5253 | 3.1966 | 800 | 0.5317 |
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- | 0.5272 | 3.5958 | 900 | 0.5234 |
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- | 0.5258 | 3.9950 | 1000 | 0.5280 |
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- | 0.5173 | 4.3952 | 1100 | 0.5180 |
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- | 0.518 | 4.7944 | 1200 | 0.5207 |
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- | 0.5119 | 5.1946 | 1300 | 0.5157 |
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- | 0.5114 | 5.5938 | 1400 | 0.5169 |
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- | 0.5138 | 5.9930 | 1500 | 0.5140 |
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- | 0.5048 | 6.3932 | 1600 | 0.5122 |
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- | 0.5059 | 6.7924 | 1700 | 0.5173 |
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- | 0.4991 | 7.1926 | 1800 | 0.5057 |
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- | 0.5038 | 7.5918 | 1900 | 0.5053 |
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- | 0.4994 | 7.9910 | 2000 | 0.5071 |
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- | 0.4989 | 8.3912 | 2100 | 0.5080 |
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- | 0.4951 | 8.7904 | 2200 | 0.5099 |
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- | 0.4941 | 9.1906 | 2300 | 0.5022 |
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- | 0.493 | 9.5898 | 2400 | 0.5039 |
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- | 0.4915 | 9.9890 | 2500 | 0.5014 |
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- | 0.4911 | 10.3892 | 2600 | 0.5066 |
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- | 0.4861 | 10.7884 | 2700 | 0.4987 |
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- | 0.4875 | 11.1886 | 2800 | 0.5042 |
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- | 0.4892 | 11.5878 | 2900 | 0.4980 |
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- | 0.4909 | 11.9870 | 3000 | 0.5007 |
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- | 0.4886 | 12.3872 | 3100 | 0.4980 |
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- | 0.4857 | 12.7864 | 3200 | 0.4952 |
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- | 0.4868 | 13.1866 | 3300 | 0.4972 |
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- | 0.482 | 13.5858 | 3400 | 0.4957 |
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- | 0.479 | 13.9850 | 3500 | 0.5029 |
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- | 0.48 | 14.3852 | 3600 | 0.4954 |
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- | 0.4819 | 14.7844 | 3700 | 0.4982 |
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- | 0.4791 | 15.1846 | 3800 | 0.4936 |
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- | 0.4776 | 15.5838 | 3900 | 0.4947 |
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- | 0.4736 | 15.9830 | 4000 | 0.4930 |
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- | 0.4744 | 16.3832 | 4100 | 0.4937 |
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- | 0.4735 | 16.7824 | 4200 | 0.4895 |
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- | 0.4789 | 17.1826 | 4300 | 0.4936 |
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- | 0.4729 | 17.5818 | 4400 | 0.4920 |
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- | 0.4742 | 17.9810 | 4500 | 0.4915 |
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- | 0.4721 | 18.3812 | 4600 | 0.4887 |
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- | 0.4733 | 18.7804 | 4700 | 0.4933 |
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- | 0.4849 | 19.1806 | 4800 | 0.4879 |
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- | 0.4692 | 19.5798 | 4900 | 0.4889 |
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- | 0.4747 | 19.9790 | 5000 | 0.4887 |
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-
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-
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  ### Framework versions
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  - Transformers 4.46.2
 
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  This model is a fine-tuned version of [Sana1207/Hindi_SpeechT5_finetuned](https://huggingface.co/Sana1207/Hindi_SpeechT5_finetuned) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - eval_loss: 0.4860
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+ - eval_runtime: 91.8769
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+ - eval_samples_per_second: 19.396
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+ - eval_steps_per_second: 9.698
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+ - epoch: 15.9830
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+ - step: 4000
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  ## Model description
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  - training_steps: 5000
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  - mixed_precision_training: Native AMP
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  ### Framework versions
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  - Transformers 4.46.2
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