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wav2vec2_common_voice_accents_4
This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the common_voice dataset. It achieves the following results on the evaluation set:
- Loss: 0.0047
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: 48
- eval_batch_size: 4
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- total_train_batch_size: 384
- total_eval_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 30
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 4.615 | 1.28 | 400 | 0.8202 |
| 0.3778 | 2.56 | 800 | 0.1587 |
| 0.2229 | 3.85 | 1200 | 0.1027 |
| 0.1799 | 5.13 | 1600 | 0.0879 |
| 0.1617 | 6.41 | 2000 | 0.0772 |
| 0.1474 | 7.69 | 2400 | 0.0625 |
| 0.134 | 8.97 | 2800 | 0.0498 |
| 0.1213 | 10.26 | 3200 | 0.0429 |
| 0.1186 | 11.54 | 3600 | 0.0434 |
| 0.1118 | 12.82 | 4000 | 0.0312 |
| 0.1026 | 14.1 | 4400 | 0.0365 |
| 0.0951 | 15.38 | 4800 | 0.0321 |
| 0.0902 | 16.67 | 5200 | 0.0262 |
| 0.0843 | 17.95 | 5600 | 0.0208 |
| 0.0744 | 19.23 | 6000 | 0.0140 |
| 0.0718 | 20.51 | 6400 | 0.0204 |
| 0.0694 | 21.79 | 6800 | 0.0133 |
| 0.0636 | 23.08 | 7200 | 0.0104 |
| 0.0609 | 24.36 | 7600 | 0.0084 |
| 0.0559 | 25.64 | 8000 | 0.0050 |
| 0.0527 | 26.92 | 8400 | 0.0089 |
| 0.0495 | 28.21 | 8800 | 0.0058 |
| 0.0471 | 29.49 | 9200 | 0.0047 |
Framework versions
- Transformers 4.17.0
- Pytorch 1.10.2+cu102
- Datasets 1.18.4
- Tokenizers 0.11.6
