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wav2vec2-large-xls-r-300m-j-phoneme-common-13
This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the common_voice_13_0 dataset. It achieves the following results on the evaluation set:
- Loss: inf
- Wer: 0.0133
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
Training results
Training Loss | Epoch | Step | Validation Loss | Wer |
---|---|---|---|---|
0.1714 | 6.95 | 2000 | 0.0803 | 0.0920 |
0.0994 | 12.9 | 4000 | inf | 0.0542 |
0.0331 | 19.35 | 6000 | inf | 0.0238 |
0.0205 | 25.8 | 8000 | inf | 0.0196 |
0.0157 | 32.25 | 10000 | inf | 0.0146 |
0.0142 | 38.69 | 12000 | inf | 0.0133 |
0.0143 | 45.14 | 14000 | inf | 0.0133 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3