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wav2vec2-large-teacher-base-student-en-asr-timit
This model is a fine-tuned version of facebook/wav2vec2-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 73.5882
- Wer: 0.3422
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: 64
- eval_batch_size: 64
- 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: 30
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 920.6083 | 3.17 | 200 | 1256.0675 | 1.0 |
| 660.5993 | 6.35 | 400 | 717.6098 | 0.9238 |
| 336.5288 | 9.52 | 600 | 202.0025 | 0.5306 |
| 131.3178 | 12.7 | 800 | 108.0701 | 0.4335 |
| 73.4232 | 15.87 | 1000 | 90.2797 | 0.3728 |
| 54.9439 | 19.05 | 1200 | 76.9043 | 0.3636 |
| 44.6595 | 22.22 | 1400 | 79.2443 | 0.3550 |
| 38.6381 | 25.4 | 1600 | 73.6277 | 0.3493 |
| 35.074 | 28.57 | 1800 | 73.5882 | 0.3422 |
Framework versions
- Transformers 4.25.1
- Pytorch 1.13.0+cu116
- Datasets 1.18.3
- Tokenizers 0.13.2
