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wav2vec2-large-xls-r-53m-gl-jupyter7
This model is a fine-tuned version of facebook/wav2vec2-large-xlsr-53 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1000
- Wer: 0.0639
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: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- 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: 500
- num_epochs: 60
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 3.8697 | 3.36 | 400 | 0.2631 | 0.2756 |
| 0.1569 | 6.72 | 800 | 0.1243 | 0.1300 |
| 0.0663 | 10.08 | 1200 | 0.1124 | 0.1153 |
| 0.0468 | 13.44 | 1600 | 0.1118 | 0.1037 |
| 0.0356 | 16.8 | 2000 | 0.1102 | 0.0978 |
| 0.0306 | 20.17 | 2400 | 0.1095 | 0.0935 |
| 0.0244 | 23.53 | 2800 | 0.1072 | 0.0844 |
| 0.0228 | 26.89 | 3200 | 0.1014 | 0.0874 |
| 0.0192 | 30.25 | 3600 | 0.1084 | 0.0831 |
| 0.0174 | 33.61 | 4000 | 0.1048 | 0.0772 |
| 0.0142 | 36.97 | 4400 | 0.1063 | 0.0764 |
| 0.0131 | 40.33 | 4800 | 0.1046 | 0.0770 |
| 0.0116 | 43.69 | 5200 | 0.0999 | 0.0716 |
| 0.0095 | 47.06 | 5600 | 0.1044 | 0.0729 |
| 0.0077 | 50.42 | 6000 | 0.1024 | 0.0670 |
| 0.0071 | 53.78 | 6400 | 0.0968 | 0.0631 |
| 0.0064 | 57.14 | 6800 | 0.1000 | 0.0639 |
Framework versions
- Transformers 4.11.3
- Pytorch 1.9.1+cu111
- Datasets 1.18.3
- Tokenizers 0.10.3
