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wav2vec2-large-xls-r-300m-j-kana-colab
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: 0.7188
- Wer: 0.1285
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: 2
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- 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: 15
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| No log | 1.0 | 397 | 3.8381 | 0.9571 |
| No log | 2.0 | 794 | 0.8909 | 0.2265 |
| 4.0962 | 3.0 | 1191 | 0.8076 | 0.2054 |
| 4.0962 | 4.0 | 1588 | 0.7300 | 0.1809 |
| 4.0962 | 5.0 | 1985 | 0.7322 | 0.1761 |
| 0.6325 | 6.0 | 2382 | 0.6478 | 0.1524 |
| 0.6325 | 7.0 | 2779 | 0.6559 | 0.1472 |
| 0.408 | 8.0 | 3176 | 0.6925 | 0.1500 |
| 0.408 | 9.0 | 3573 | 0.7567 | 0.1582 |
| 0.408 | 10.0 | 3970 | 0.6687 | 0.1358 |
| 0.29 | 11.0 | 4367 | 0.7223 | 0.1418 |
| 0.29 | 12.0 | 4764 | 0.7082 | 0.1328 |
| 0.2152 | 13.0 | 5161 | 0.7114 | 0.1340 |
| 0.2152 | 14.0 | 5558 | 0.7082 | 0.1280 |
| 0.2152 | 15.0 | 5955 | 0.7188 | 0.1285 |
Framework versions
- Transformers 4.21.2
- Pytorch 1.10.0+cu113
- Datasets 2.4.0
- Tokenizers 0.12.1
