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--- |
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language: |
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- id |
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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_7_0 |
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- generated_from_trainer |
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datasets: |
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- common_voice |
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model-index: |
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- name: wav2vec2-large-xls-r-300m-indonesian |
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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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# wav2vec2-large-xls-r-300m-indonesian |
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This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the MOZILLA-FOUNDATION/COMMON_VOICE_7_0 - ID dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2759 |
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- Wer: 0.3256 |
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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: 7e-05 |
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- train_batch_size: 32 |
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- eval_batch_size: 32 |
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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: 4000 |
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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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| 3.0387 | 4.72 | 1000 | 3.0892 | 1.0 | |
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| 1.7911 | 9.43 | 2000 | 0.8451 | 0.6702 | |
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| 1.2826 | 14.15 | 3000 | 0.4211 | 0.4166 | |
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| 1.1802 | 18.87 | 4000 | 0.3508 | 0.4690 | |
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| 1.1065 | 23.58 | 5000 | 0.3319 | 0.4662 | |
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| 1.0921 | 28.3 | 6000 | 0.3056 | 0.3880 | |
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| 1.0366 | 33.02 | 7000 | 0.2997 | 0.3665 | |
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| 0.9988 | 37.74 | 8000 | 0.2972 | 0.3653 | |
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| 0.9864 | 42.45 | 9000 | 0.2697 | 0.3371 | |
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| 0.9558 | 47.17 | 10000 | 0.2739 | 0.3141 | |
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| 0.9094 | 51.89 | 11000 | 0.2657 | 0.3533 | |
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| 0.9034 | 56.6 | 12000 | 0.2699 | 0.3397 | |
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| 0.8907 | 61.32 | 13000 | 0.2765 | 0.3470 | |
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| 0.8631 | 66.04 | 14000 | 0.2774 | 0.3346 | |
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| 0.8389 | 70.75 | 15000 | 0.2743 | 0.3365 | |
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| 0.8214 | 75.47 | 16000 | 0.2778 | 0.3201 | |
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| 0.8195 | 80.19 | 17000 | 0.2725 | 0.3286 | |
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| 0.7994 | 84.91 | 18000 | 0.2782 | 0.3315 | |
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| 0.7816 | 89.62 | 19000 | 0.2775 | 0.3363 | |
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| 0.7816 | 94.34 | 20000 | 0.2731 | 0.3278 | |
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| 0.7635 | 99.06 | 21000 | 0.2767 | 0.3259 | |
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### Framework versions |
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- Transformers 4.16.0.dev0 |
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- Pytorch 1.10.1+cu102 |
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- Datasets 1.17.1.dev0 |
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- Tokenizers 0.11.0 |
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