wav2vec2-xls-r-1b-ja-phoneme_cv_14_2
This model is a fine-tuned version of facebook/wav2vec2-xls-r-1b on the audiofolder dataset. It achieves the following results on the evaluation set:
- Loss: 0.2898
- Wer: 0.0668
Model description
More information needed
Intended uses & limitations
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Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 3e-05
- train_batch_size: 2
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 1.0171 | 0.49 | 2000 | 0.3758 | 0.0890 |
| 0.3467 | 0.98 | 4000 | 0.2898 | 0.0668 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu117
- Datasets 2.14.3
- Tokenizers 0.13.3
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Model tree for pinot/wav2vec2-xls-r-1b-ja-phoneme_cv_14_2
Base model
facebook/wav2vec2-xls-r-1b