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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_8_0 |
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metrics: |
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- wer |
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- cer |
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base_model: facebook/wav2vec2-xls-r-1b |
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model-index: |
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- name: wav2vec2-large-xls-r-1b-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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name: Common Voice id |
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type: mozilla-foundation/common_voice_8_0 |
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args: id |
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metrics: |
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- type: wer |
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value: 45.51 |
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name: Test WER |
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- type: cer |
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value: 16.43 |
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name: Test CER |
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- task: |
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type: automatic-speech-recognition |
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name: 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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- type: wer |
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value: 72.73 |
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name: Test WER |
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- task: |
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type: automatic-speech-recognition |
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name: 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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- type: wer |
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value: 79.29 |
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name: Test WER |
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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-1b-Indonesian |
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This model is a fine-tuned version of [facebook/wav2vec2-xls-r-1b](https://huggingface.co/facebook/wav2vec2-xls-r-1b) on the common_voice dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.9550 |
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- Wer: 0.4551 |
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- Cer: 0.1643 |
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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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| 3.663 | 7.69 | 200 | 0.7898 | 0.6039 | 0.1848 | |
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| 0.7424 | 15.38 | 400 | 1.0215 | 0.5615 | 0.1924 | |
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| 0.4494 | 23.08 | 600 | 1.0901 | 0.5249 | 0.1932 | |
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| 0.5075 | 30.77 | 800 | 1.1013 | 0.5079 | 0.1935 | |
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| 0.4671 | 38.46 | 1000 | 1.1034 | 0.4916 | 0.1827 | |
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| 0.1928 | 46.15 | 1200 | 0.9550 | 0.4551 | 0.1643 | |
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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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