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--- |
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license: apache-2.0 |
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base_model: openai/whisper-small |
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tags: |
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- generated_from_trainer |
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metrics: |
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- wer |
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model-index: |
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- name: whisper-small-clean-hi |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# whisper-small-clean-hi |
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.5136 |
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- Wer: 28.2379 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 1e-05 |
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- train_batch_size: 48 |
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- eval_batch_size: 24 |
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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: 500 |
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- training_steps: 3000 |
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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 | |
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|:-------------:|:-----:|:----:|:---------------:|:-------:| |
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| 1.5251 | 0.46 | 50 | 1.2276 | 88.8034 | |
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| 0.7311 | 0.92 | 100 | 0.6706 | 50.3372 | |
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| 0.5582 | 1.38 | 150 | 0.5367 | 43.6798 | |
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| 0.4555 | 1.83 | 200 | 0.4448 | 43.1783 | |
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| 0.3326 | 2.29 | 250 | 0.3594 | 36.2182 | |
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| 0.2394 | 2.75 | 300 | 0.2507 | 33.5380 | |
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| 0.1449 | 3.21 | 350 | 0.2294 | 32.7252 | |
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| 0.1407 | 3.67 | 400 | 0.2144 | 30.6070 | |
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| 0.1048 | 4.13 | 450 | 0.2125 | 29.6299 | |
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| 0.0854 | 4.59 | 500 | 0.2085 | 29.1371 | |
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| 0.0762 | 5.05 | 550 | 0.2125 | 28.4109 | |
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| 0.0445 | 5.5 | 600 | 0.2168 | 28.4973 | |
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| 0.0474 | 5.96 | 650 | 0.2197 | 28.2725 | |
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| 0.0249 | 6.42 | 700 | 0.2324 | 28.2898 | |
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| 0.0267 | 6.88 | 750 | 0.2287 | 27.2696 | |
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| 0.0144 | 7.34 | 800 | 0.2440 | 27.2869 | |
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| 0.0154 | 7.8 | 850 | 0.2524 | 27.3733 | |
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| 0.008 | 8.26 | 900 | 0.2648 | 27.1312 | |
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| 0.0103 | 8.72 | 950 | 0.2602 | 27.9353 | |
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| 0.0066 | 9.17 | 1000 | 0.2718 | 28.3330 | |
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| 0.0073 | 9.63 | 1050 | 0.2705 | 27.4771 | |
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| 0.0053 | 10.09 | 1100 | 0.2828 | 27.5030 | |
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| 0.0044 | 10.55 | 1150 | 0.2882 | 27.2004 | |
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| 0.0045 | 11.01 | 1200 | 0.2892 | 27.5117 | |
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| 0.0037 | 11.47 | 1250 | 0.2961 | 27.3215 | |
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| 0.0031 | 11.93 | 1300 | 0.2934 | 27.0534 | |
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| 0.0022 | 12.39 | 1350 | 0.3014 | 27.1053 | |
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| 0.003 | 12.84 | 1400 | 0.3077 | 26.5779 | |
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| 0.0022 | 13.3 | 1450 | 0.3096 | 26.8373 | |
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| 0.002 | 13.76 | 1500 | 0.3123 | 26.5347 | |
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| 0.0017 | 14.22 | 1550 | 0.3186 | 26.8632 | |
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| 0.0016 | 14.68 | 1600 | 0.3255 | 26.6903 | |
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| 0.0012 | 15.14 | 1650 | 0.3329 | 26.4396 | |
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| 0.0015 | 15.6 | 1700 | 0.3336 | 27.0188 | |
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| 0.0009 | 16.06 | 1750 | 0.3361 | 26.4569 | |
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| 0.001 | 16.51 | 1800 | 0.3483 | 26.4655 | |
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| 0.0014 | 16.97 | 1850 | 0.3533 | 26.2666 | |
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| 0.0004 | 17.43 | 1900 | 0.3581 | 26.0678 | |
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| 0.0004 | 17.89 | 1950 | 0.3688 | 26.5087 | |
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| 0.0003 | 18.35 | 2000 | 0.3738 | 26.2148 | |
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| 0.0004 | 18.81 | 2050 | 0.3729 | 26.1197 | |
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| 0.0005 | 19.27 | 2100 | 0.3850 | 25.8776 | |
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| 0.0002 | 19.72 | 2150 | 0.3874 | 25.9900 | |
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| 0.0004 | 20.18 | 2200 | 0.3927 | 25.9727 | |
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| 0.0 | 20.64 | 2250 | 0.4037 | 25.9381 | |
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| 0.0 | 21.1 | 2300 | 0.4133 | 25.9208 | |
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| 0.0001 | 21.56 | 2350 | 0.4188 | 25.5836 | |
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| 0.0 | 22.02 | 2400 | 0.4266 | 25.8776 | |
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| 0.0 | 22.48 | 2450 | 0.4380 | 26.1715 | |
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| 0.0 | 22.94 | 2500 | 0.4473 | 25.6268 | |
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| 0.0 | 23.39 | 2550 | 0.4604 | 26.0418 | |
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| 0.0 | 23.85 | 2600 | 0.4681 | 26.1802 | |
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| 0.0 | 24.31 | 2650 | 0.4833 | 26.1197 | |
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| 0.0 | 24.77 | 2700 | 0.4883 | 26.2234 | |
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| 0.0 | 25.23 | 2750 | 0.4993 | 26.4914 | |
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| 0.0 | 25.69 | 2800 | 0.5031 | 26.7768 | |
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| 0.0 | 26.15 | 2850 | 0.5077 | 26.6211 | |
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| 0.0 | 26.61 | 2900 | 0.5102 | 27.1658 | |
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| 0.0 | 27.06 | 2950 | 0.5123 | 28.1688 | |
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| 0.0 | 27.52 | 3000 | 0.5136 | 28.2379 | |
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### Framework versions |
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- Transformers 4.37.0.dev0 |
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- Pytorch 1.12.1 |
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- Datasets 2.16.1 |
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- Tokenizers 0.15.0 |
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