wav2vec2-xls-r-1b-ja-phoneme_cv_14_4
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: 0.5900
- Wer: 0.1284
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: 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: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 2.6642 | 0.84 | 400 | 0.8690 | 0.2064 |
| 0.558 | 1.68 | 800 | 0.5900 | 0.1284 |
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_4
Base model
facebook/wav2vec2-xls-r-1b