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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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- hf-asr-leaderboard |
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- robust-speech-event |
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datasets: |
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- mozilla-foundation/common_voice_7_0 |
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metrics: |
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- wer |
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- cer |
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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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- task: |
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type: automatic-speech-recognition |
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name: Speech Recognition |
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dataset: |
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type: mozilla-foundation/common_voice_7_0 |
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name: Common Voice id |
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args: id |
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metrics: |
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- type: wer |
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value: 25.06 |
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name: Test WER With LM |
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- type: cer |
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value: 6.5 |
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name: Test CER With LM |
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- task: |
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name: Automatic Speech Recognition |
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type: automatic-speech-recognition |
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dataset: |
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name: Robust Speech Event - Dev Data |
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type: speech-recognition-community-v2/dev_data |
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args: id |
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metrics: |
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- name: Test WER |
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type: wer |
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value: 99.61 |
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- task: |
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name: Automatic Speech Recognition |
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type: automatic-speech-recognition |
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dataset: |
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name: Robust Speech Event - Test Data |
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type: speech-recognition-community-v2/eval_data |
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args: id |
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metrics: |
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- name: Test WER |
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type: wer |
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value: 106.39 |
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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 common_voice dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4087 |
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- Wer: 0.2461 |
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- Cer: 0.0666 |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 0.0003 |
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- train_batch_size: 64 |
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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: 128 |
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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: 400 |
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- num_epochs: 50 |
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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 | Cer | |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:------:| |
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| 5.0788 | 4.26 | 200 | 2.9389 | 1.0 | 1.0 | |
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| 2.8288 | 8.51 | 400 | 2.2535 | 1.0 | 0.8004 | |
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| 0.907 | 12.77 | 600 | 0.4558 | 0.4243 | 0.1095 | |
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| 0.4071 | 17.02 | 800 | 0.4013 | 0.3468 | 0.0913 | |
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| 0.3 | 21.28 | 1000 | 0.4167 | 0.3075 | 0.0816 | |
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| 0.2544 | 25.53 | 1200 | 0.4132 | 0.2835 | 0.0762 | |
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| 0.2145 | 29.79 | 1400 | 0.3878 | 0.2693 | 0.0729 | |
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| 0.1923 | 34.04 | 1600 | 0.4023 | 0.2623 | 0.0702 | |
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| 0.1681 | 38.3 | 1800 | 0.3984 | 0.2581 | 0.0686 | |
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| 0.1598 | 42.55 | 2000 | 0.3982 | 0.2493 | 0.0663 | |
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| 0.1464 | 46.81 | 2200 | 0.4087 | 0.2461 | 0.0666 | |
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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 1.18.2.dev0 |
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- Tokenizers 0.11.0 |
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