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wav2vec2-23
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: 3.1230
- 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
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 400
- num_epochs: 30
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 4.2642 | 1.37 | 200 | 2.9756 | 1.0 |
| 2.8574 | 2.74 | 400 | 3.1631 | 1.0 |
| 2.8588 | 4.11 | 600 | 3.1208 | 1.0 |
| 2.8613 | 5.48 | 800 | 3.1113 | 1.0 |
| 2.8599 | 6.85 | 1000 | 3.2679 | 1.0 |
| 2.8577 | 8.22 | 1200 | 3.0904 | 1.0 |
| 2.8575 | 9.59 | 1400 | 3.2444 | 1.0 |
| 2.8538 | 10.96 | 1600 | 3.0674 | 1.0 |
| 2.8564 | 12.33 | 1800 | 3.1957 | 1.0 |
| 2.8555 | 13.7 | 2000 | 3.0881 | 1.0 |
| 2.8542 | 15.07 | 2200 | 3.1488 | 1.0 |
| 2.8538 | 16.44 | 2400 | 3.1184 | 1.0 |
| 2.854 | 17.81 | 2600 | 3.1133 | 1.0 |
| 2.8553 | 19.18 | 2800 | 3.1508 | 1.0 |
| 2.8534 | 20.55 | 3000 | 3.0646 | 1.0 |
| 2.8538 | 21.92 | 3200 | 3.1374 | 1.0 |
| 2.8545 | 23.29 | 3400 | 3.1020 | 1.0 |
| 2.8539 | 24.66 | 3600 | 3.1631 | 1.0 |
| 2.8558 | 26.03 | 3800 | 3.1063 | 1.0 |
| 2.8508 | 27.4 | 4000 | 3.1271 | 1.0 |
| 2.8537 | 28.77 | 4200 | 3.1230 | 1.0 |
Framework versions
- Transformers 4.19.2
- Pytorch 1.11.0+cu113
- Datasets 2.2.2
- Tokenizers 0.12.1
