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wav2vec2-large-xls-r-300m-j-phoneme-common-test
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: 0.0000
- Wer: 0.0001
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: 0.0003
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 50
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.1488 | 7.14 | 2000 | 0.0788 | 0.0919 |
| 0.0308 | 14.28 | 4000 | 0.0155 | 0.0271 |
| 0.0121 | 21.43 | 6000 | 0.0070 | 0.0103 |
| 0.0067 | 28.57 | 8000 | 0.0059 | 0.0067 |
| 0.0025 | 35.71 | 10000 | 0.0143 | 0.0180 |
| 0.0001 | 42.85 | 12000 | 0.0000 | 0.0001 |
| 0.0 | 50.0 | 14000 | 0.0000 | 0.0001 |
Framework versions
- Transformers 4.22.1
- Pytorch 1.10.0+cu113
- Datasets 2.5.1
- Tokenizers 0.12.1
