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wsj0-5percent-supervised
This model is a fine-tuned version of facebook/wav2vec2-large-lv60 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.3883
- Wer: 0.1555
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: 0.0001
- train_batch_size: 12
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1000
- num_epochs: 300
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 6.0248 | 16.67 | 500 | 2.9406 | 1.0 |
| 2.0466 | 33.33 | 1000 | 0.3935 | 0.3300 |
| 0.1486 | 50.0 | 1500 | 0.3091 | 0.1931 |
| 0.052 | 66.67 | 2000 | 0.3562 | 0.2052 |
| 0.0309 | 83.33 | 2500 | 0.3252 | 0.1773 |
| 0.0228 | 100.0 | 3000 | 0.3360 | 0.1652 |
| 0.0177 | 116.67 | 3500 | 0.3423 | 0.1603 |
| 0.0142 | 133.33 | 4000 | 0.3416 | 0.1611 |
| 0.0119 | 150.0 | 4500 | 0.3663 | 0.1583 |
| 0.0094 | 166.67 | 5000 | 0.3617 | 0.1567 |
| 0.0093 | 183.33 | 5500 | 0.3738 | 0.1668 |
| 0.0079 | 200.0 | 6000 | 0.3881 | 0.1652 |
| 0.0065 | 216.67 | 6500 | 0.3752 | 0.1611 |
| 0.0056 | 233.33 | 7000 | 0.3798 | 0.1603 |
| 0.0057 | 250.0 | 7500 | 0.3944 | 0.1624 |
| 0.0047 | 266.67 | 8000 | 0.4038 | 0.1583 |
| 0.0041 | 283.33 | 8500 | 0.3928 | 0.1547 |
| 0.0036 | 300.0 | 9000 | 0.3883 | 0.1555 |
Framework versions
- Transformers 4.14.1
- Pytorch 1.10.2
- Datasets 1.18.2
- Tokenizers 0.10.3
