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wav2vec2-xls-r-300m-ar-8
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: 76.6942
- Wer: 0.2108
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: 64
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 256
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 60
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 6295.0487 | 4.71 | 400 | 615.8572 | 1.0 |
| 1464.0058 | 9.41 | 800 | 111.7187 | 0.5361 |
| 425.6333 | 14.12 | 1200 | 80.7770 | 0.3446 |
| 280.069 | 18.82 | 1600 | 74.0422 | 0.2980 |
| 213.0118 | 23.53 | 2000 | 78.4876 | 0.2783 |
| 175.6819 | 28.24 | 2400 | 70.4845 | 0.2491 |
| 148.5846 | 32.94 | 2800 | 70.5758 | 0.2443 |
| 131.1029 | 37.65 | 3200 | 75.3770 | 0.2371 |
| 116.7131 | 42.35 | 3600 | 78.7061 | 0.2268 |
| 105.369 | 47.06 | 4000 | 76.4783 | 0.2210 |
| 97.0829 | 51.76 | 4400 | 76.6051 | 0.2153 |
| 90.4009 | 56.47 | 4800 | 76.6942 | 0.2108 |
Framework versions
- Transformers 4.17.0
- Pytorch 1.11.0
- Datasets 1.18.4
- Tokenizers 0.11.6
