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wav2vec2-large-xls-r-53m-gl-jupyter5
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: 0.1025
- Wer: 0.0625
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 |
|---|---|---|---|---|
| 3.6862 | 3.36 | 400 | 0.2455 | 0.2344 |
| 0.1517 | 6.72 | 800 | 0.1195 | 0.1233 |
| 0.0772 | 10.08 | 1200 | 0.1219 | 0.1155 |
| 0.0472 | 13.44 | 1600 | 0.1162 | 0.1034 |
| 0.0357 | 16.8 | 2000 | 0.1070 | 0.1006 |
| 0.0307 | 20.17 | 2400 | 0.1131 | 0.1013 |
| 0.0258 | 23.53 | 2800 | 0.1163 | 0.0847 |
| 0.0229 | 26.89 | 3200 | 0.1100 | 0.0858 |
| 0.0183 | 30.25 | 3600 | 0.1062 | 0.0810 |
| 0.0182 | 33.61 | 4000 | 0.1068 | 0.0800 |
| 0.0151 | 36.97 | 4400 | 0.1088 | 0.0780 |
| 0.0138 | 40.33 | 4800 | 0.1062 | 0.0737 |
| 0.0121 | 43.69 | 5200 | 0.1061 | 0.0722 |
| 0.0088 | 47.06 | 5600 | 0.1055 | 0.0670 |
| 0.008 | 50.42 | 6000 | 0.1059 | 0.0646 |
| 0.007 | 53.78 | 6400 | 0.1020 | 0.0634 |
| 0.0065 | 57.14 | 6800 | 0.1025 | 0.0625 |
Framework versions
- Transformers 4.11.3
- Pytorch 1.9.1+cu111
- Datasets 1.18.3
- Tokenizers 0.10.3
