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w2v2-xlsr-indonesian
fdlmuli/w2v2-xlsr-indonesian
w2v2-xlsr-indonesian is a automatic speech recognition model from fdlmuli. 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
- Dec 20, 2022
- Updated
- Dec 21, 2022
- SHA
- 1c27e6b0
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. -->
w2v2-xlsr-indonesian
This model is a fine-tuned version of facebook/wav2vec2-large-xlsr-53 on the common_voice dataset. It achieves the following results on the evaluation set:
- Loss: 0.2496
- Wer: 0.2116
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: 64
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 300
- num_epochs: 60.0
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 9.828 | 3.23 | 100 | 3.3112 | 1.0 |
| 2.99 | 6.45 | 200 | 2.8944 | 1.0 |
| 2.8597 | 9.68 | 300 | 2.8430 | 1.0 |
| 2.6267 | 12.9 | 400 | 1.6697 | 0.9975 |
| 1.3279 | 16.13 | 500 | 0.5147 | 0.5183 |
| 0.8697 | 19.35 | 600 | 0.3648 | 0.3825 |
| 0.7173 | 22.58 | 700 | 0.3172 | 0.3332 |
| 0.6268 | 25.81 | 800 | 0.3027 | 0.2900 |
| 0.5733 | 29.03 | 900 | 0.2921 | 0.2710 |
| 0.5283 | 32.26 | 1000 | 0.2731 | 0.2546 |
| 0.4865 | 35.48 | 1100 | 0.2690 | 0.2397 |
| 0.4559 | 38.71 | 1200 | 0.2581 | 0.2330 |
| 0.4352 | 41.94 | 1300 | 0.2620 | 0.2254 |
| 0.4265 | 45.16 | 1400 | 0.2496 | 0.2228 |
| 0.3987 | 48.39 | 1500 | 0.2571 | 0.2219 |
| 0.3977 | 51.61 | 1600 | 0.2514 | 0.2138 |
| 0.3786 | 54.84 | 1700 | 0.2533 | 0.2142 |
| 0.3763 | 58.06 | 1800 | 0.2496 | 0.2116 |
Framework versions
- Transformers 4.24.0
- Pytorch 1.10.0+cu113
- Datasets 1.18.3
- Tokenizers 0.13.2
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- wav2vec2
- License
- apache-2.0
- Created
- Dec 20, 2022
- Updated
- Dec 21, 2022