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wav2vec2phone-large-xlsr-jp-jdrtfw07-demo3
This model is a fine-tuned version of jonatasgrosman/wav2vec2-large-xlsr-53-japanese on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0451
- Wer: 0.025
- Cer: 0.0195
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: 1e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 4
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1640
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer | Cer |
|---|---|---|---|---|---|
| 3.0002 | 1.0 | 328 | 2.8482 | 0.9965 | 0.9980 |
| 2.2134 | 2.0 | 656 | 2.0964 | 0.8864 | 0.9374 |
| 1.6625 | 3.0 | 984 | 1.2925 | 0.7960 | 0.7917 |
| 1.0846 | 4.0 | 1312 | 0.4955 | 0.3292 | 0.3089 |
| 0.8593 | 5.0 | 1640 | 0.2443 | 0.1061 | 0.0839 |
| 0.7502 | 6.0 | 1968 | 0.1552 | 0.0620 | 0.0504 |
| 0.6342 | 7.0 | 2296 | 0.1202 | 0.0491 | 0.0422 |
| 0.6012 | 8.0 | 2624 | 0.1008 | 0.0442 | 0.0379 |
| 0.6214 | 9.0 | 2952 | 0.0846 | 0.0390 | 0.0333 |
| 0.5486 | 10.0 | 3280 | 0.0756 | 0.0361 | 0.0309 |
| 0.5633 | 11.0 | 3608 | 0.0669 | 0.0310 | 0.0261 |
| 0.4977 | 12.0 | 3936 | 0.0609 | 0.0300 | 0.0251 |
| 0.4863 | 13.0 | 4264 | 0.0556 | 0.0282 | 0.0233 |
| 0.4416 | 14.0 | 4592 | 0.0533 | 0.0279 | 0.0234 |
| 0.4713 | 15.0 | 4920 | 0.0499 | 0.0266 | 0.0214 |
| 0.4715 | 16.0 | 5248 | 0.0489 | 0.0252 | 0.0197 |
| 0.4724 | 17.0 | 5576 | 0.0472 | 0.0259 | 0.0205 |
| 0.4835 | 18.0 | 5904 | 0.0463 | 0.0259 | 0.0204 |
| 0.4589 | 19.0 | 6232 | 0.0454 | 0.0252 | 0.0199 |
| 0.4207 | 20.0 | 6560 | 0.0451 | 0.025 | 0.0195 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3
