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xlsr-english
This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the librispeech_asr dataset. It achieves the following results on the evaluation set:
- Loss: 0.3098
- Wer: 0.1451
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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- 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: 30
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 3.2453 | 2.37 | 400 | 0.5789 | 0.4447 |
| 0.3736 | 4.73 | 800 | 0.3737 | 0.2850 |
| 0.1712 | 7.1 | 1200 | 0.3038 | 0.2136 |
| 0.117 | 9.47 | 1600 | 0.3016 | 0.2072 |
| 0.0897 | 11.83 | 2000 | 0.3158 | 0.1920 |
| 0.074 | 14.2 | 2400 | 0.3137 | 0.1831 |
| 0.0595 | 16.57 | 2800 | 0.2967 | 0.1745 |
| 0.0493 | 18.93 | 3200 | 0.3192 | 0.1670 |
| 0.0413 | 21.3 | 3600 | 0.3176 | 0.1644 |
| 0.0322 | 23.67 | 4000 | 0.3079 | 0.1598 |
| 0.0296 | 26.04 | 4400 | 0.2978 | 0.1511 |
| 0.0235 | 28.4 | 4800 | 0.3098 | 0.1451 |
Framework versions
- Transformers 4.11.3
- Pytorch 1.10.0+cu113
- Datasets 1.18.3
- Tokenizers 0.10.3
