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fine-tune-Wav2Vec2-XLS-R-300M-Indonesia
faraahahaha/fine-tune-Wav2Vec2-XLS-R-300M-Indonesia
fine-tune-Wav2Vec2-XLS-R-300M-Indonesia is a automatic speech recognition model from faraahahaha. Use it when you need speech turned into text. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Automatic Speech Recognition
- Library
- transformers
- License
- apache-2.0
- Model type
- wav2vec2
- Access
- Public
- Created
- Aug 18, 2022
- Updated
- Feb 21, 2023
- SHA
- 43e05feb
Datasets
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
fine-tune-Wav2Vec2-XLS-R-300M-Indonesia
This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the common_voice_10_0 dataset. It achieves the following results on the evaluation set:
- Loss: 0.7924
- Wer: 0.4307
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.0001
- train_batch_size: 32
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 100
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 2.8421 | 6.33 | 500 | 0.7758 | 0.7386 |
| 0.1875 | 12.66 | 1000 | 0.6039 | 0.5712 |
| 0.1138 | 18.99 | 1500 | 0.6463 | 0.5170 |
| 0.0774 | 25.32 | 2000 | 0.6814 | 0.4914 |
| 0.0655 | 31.65 | 2500 | 0.7010 | 0.4778 |
| 0.0536 | 37.97 | 3000 | 0.7267 | 0.4761 |
| 0.0471 | 44.3 | 3500 | 0.7552 | 0.4693 |
| 0.0402 | 50.63 | 4000 | 0.7474 | 0.4612 |
| 0.0366 | 56.96 | 4500 | 0.7705 | 0.4560 |
| 0.0324 | 63.29 | 5000 | 0.7253 | 0.4472 |
| 0.0293 | 69.62 | 5500 | 0.7660 | 0.4441 |
| 0.0254 | 75.95 | 6000 | 0.7816 | 0.4398 |
| 0.0226 | 82.28 | 6500 | 0.7988 | 0.4378 |
| 0.0202 | 88.61 | 7000 | 0.8009 | 0.4305 |
| 0.0185 | 94.94 | 7500 | 0.7924 | 0.4307 |
Framework versions
- Transformers 4.22.2
- Pytorch 1.10.0+cu113
- Datasets 2.5.2
- Tokenizers 0.12.1
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- wav2vec2
- License
- apache-2.0
- Created
- Aug 18, 2022
- Updated
- Feb 21, 2023