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--- |
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language: |
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- ur |
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license: apache-2.0 |
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tags: |
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- automatic-speech-recognition |
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- mozilla-foundation/common_voice_8_0 |
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- generated_from_trainer |
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- ur |
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- robust-speech-event |
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datasets: |
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- common_voice |
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model-index: |
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- name: '' |
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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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# |
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This model is a fine-tuned version of [HarrisDePerceptron/xls-r-300m-ur](https://huggingface.co/HarrisDePerceptron/xls-r-300m-ur) on the MOZILLA-FOUNDATION/COMMON_VOICE_8_0 - UR dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.0517 |
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- Wer: 0.5967 |
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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: 7.5e-05 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 16 |
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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: 100 |
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- num_epochs: 100.0 |
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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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| 1.2991 | 1.96 | 100 | 0.9769 | 0.6627 | |
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| 1.3415 | 3.92 | 200 | 0.9701 | 0.6594 | |
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| 1.2998 | 5.88 | 300 | 0.9678 | 0.6668 | |
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| 1.2881 | 7.84 | 400 | 0.9650 | 0.6613 | |
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| 1.2369 | 9.8 | 500 | 0.9392 | 0.6502 | |
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| 1.2293 | 11.76 | 600 | 0.9536 | 0.6480 | |
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| 1.1709 | 13.73 | 700 | 0.9265 | 0.6402 | |
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| 1.1492 | 15.69 | 800 | 0.9636 | 0.6506 | |
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| 1.1044 | 17.65 | 900 | 0.9305 | 0.6351 | |
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| 1.0704 | 19.61 | 1000 | 0.9329 | 0.6280 | |
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| 1.0039 | 21.57 | 1100 | 0.9413 | 0.6295 | |
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| 0.9756 | 23.53 | 1200 | 0.9718 | 0.6185 | |
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| 0.9633 | 25.49 | 1300 | 0.9731 | 0.6133 | |
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| 0.932 | 27.45 | 1400 | 0.9659 | 0.6199 | |
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| 0.9252 | 29.41 | 1500 | 0.9766 | 0.6196 | |
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| 0.9172 | 31.37 | 1600 | 1.0052 | 0.6199 | |
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| 0.8733 | 33.33 | 1700 | 0.9955 | 0.6203 | |
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| 0.868 | 35.29 | 1800 | 1.0069 | 0.6240 | |
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| 0.8547 | 37.25 | 1900 | 0.9783 | 0.6258 | |
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| 0.8451 | 39.22 | 2000 | 0.9845 | 0.6052 | |
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| 0.8374 | 41.18 | 2100 | 0.9496 | 0.6137 | |
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| 0.8153 | 43.14 | 2200 | 0.9756 | 0.6122 | |
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| 0.8134 | 45.1 | 2300 | 0.9712 | 0.6096 | |
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| 0.8019 | 47.06 | 2400 | 0.9565 | 0.5970 | |
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| 0.7746 | 49.02 | 2500 | 0.9864 | 0.6096 | |
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| 0.7664 | 50.98 | 2600 | 0.9988 | 0.6092 | |
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| 0.7708 | 52.94 | 2700 | 1.0181 | 0.6255 | |
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| 0.7468 | 54.9 | 2800 | 0.9918 | 0.6148 | |
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| 0.7241 | 56.86 | 2900 | 1.0150 | 0.6018 | |
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| 0.7165 | 58.82 | 3000 | 1.0439 | 0.6063 | |
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| 0.7104 | 60.78 | 3100 | 1.0016 | 0.6037 | |
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| 0.6954 | 62.75 | 3200 | 1.0117 | 0.5970 | |
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| 0.6753 | 64.71 | 3300 | 1.0191 | 0.6037 | |
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| 0.6803 | 66.67 | 3400 | 1.0190 | 0.6033 | |
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| 0.661 | 68.63 | 3500 | 1.0284 | 0.6007 | |
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| 0.6597 | 70.59 | 3600 | 1.0060 | 0.5967 | |
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| 0.6398 | 72.55 | 3700 | 1.0372 | 0.6048 | |
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| 0.6105 | 74.51 | 3800 | 1.0048 | 0.6044 | |
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| 0.6164 | 76.47 | 3900 | 1.0398 | 0.6148 | |
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| 0.6354 | 78.43 | 4000 | 1.0272 | 0.6133 | |
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| 0.5952 | 80.39 | 4100 | 1.0364 | 0.6081 | |
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| 0.5814 | 82.35 | 4200 | 1.0418 | 0.6092 | |
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| 0.6079 | 84.31 | 4300 | 1.0277 | 0.5967 | |
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| 0.5748 | 86.27 | 4400 | 1.0362 | 0.6041 | |
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| 0.5624 | 88.24 | 4500 | 1.0427 | 0.6007 | |
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| 0.5767 | 90.2 | 4600 | 1.0370 | 0.5919 | |
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| 0.5793 | 92.16 | 4700 | 1.0442 | 0.6011 | |
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| 0.547 | 94.12 | 4800 | 1.0516 | 0.5982 | |
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| 0.5513 | 96.08 | 4900 | 1.0461 | 0.5989 | |
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| 0.5429 | 98.04 | 5000 | 1.0504 | 0.5996 | |
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| 0.5404 | 100.0 | 5100 | 1.0517 | 0.5967 | |
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### Framework versions |
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- Transformers 4.17.0.dev0 |
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- Pytorch 1.10.2+cu102 |
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- Datasets 1.18.3 |
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- Tokenizers 0.11.0 |
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