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wav2vec2-17
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: 3.1355
- Wer: 1.0
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: 32
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 256
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 50
- num_epochs: 30
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 7.5865 | 1.38 | 25 | 3.4717 | 1.0 |
| 2.9762 | 2.77 | 50 | 3.1483 | 1.0 |
| 2.9265 | 4.16 | 75 | 3.1946 | 1.0 |
| 2.8813 | 5.55 | 100 | 3.0504 | 1.0 |
| 2.887 | 6.93 | 125 | 3.1358 | 1.0 |
| 2.9124 | 8.33 | 150 | 3.1653 | 1.0 |
| 2.8854 | 9.71 | 175 | 3.1243 | 1.0 |
| 2.91 | 11.11 | 200 | 3.0879 | 1.0 |
| 2.8868 | 12.49 | 225 | 3.1658 | 1.0 |
| 2.8827 | 13.88 | 250 | 3.1236 | 1.0 |
| 2.911 | 15.27 | 275 | 3.1206 | 1.0 |
| 2.8829 | 16.66 | 300 | 3.1171 | 1.0 |
| 2.9105 | 18.05 | 325 | 3.1127 | 1.0 |
| 2.8845 | 19.44 | 350 | 3.1377 | 1.0 |
| 2.8803 | 20.82 | 375 | 3.1157 | 1.0 |
| 2.9102 | 22.22 | 400 | 3.1265 | 1.0 |
| 2.8803 | 23.6 | 425 | 3.1493 | 1.0 |
| 2.8837 | 24.99 | 450 | 3.1085 | 1.0 |
| 2.9106 | 26.38 | 475 | 3.1099 | 1.0 |
| 2.8787 | 27.77 | 500 | 3.1352 | 1.0 |
| 2.9132 | 29.16 | 525 | 3.1355 | 1.0 |
Framework versions
- Transformers 4.19.2
- Pytorch 1.11.0+cu113
- Datasets 2.2.2
- Tokenizers 0.12.1
