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wav2vec2-xls-r-300m-ja-phoneme-cv-14_bench
This model is a fine-tuned version of pinot/wav2vec2-xls-r-300m-ja-phoneme_cv_14_3 on the audiofolder dataset. It achieves the following results on the evaluation set:
- Loss: 2.0125
- Wer: 0.1794
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: 16
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 4
- 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: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| No log | 0.97 | 9 | 5.2662 | 0.2116 |
| No log | 1.95 | 18 | 2.0125 | 0.1794 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu117
- Datasets 2.14.3
- Tokenizers 0.13.3
