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wav2vec2-base-checkpoint-12
This model is a fine-tuned version of jiobiala24/wav2vec2-base-checkpoint-11.1 on the common_voice dataset. It achieves the following results on the evaluation set:
- Loss: 1.0795
- Wer: 0.3452
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: 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: 1000
- num_epochs: 30
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.2793 | 1.64 | 1000 | 0.5692 | 0.3518 |
| 0.2206 | 3.28 | 2000 | 0.6127 | 0.3460 |
| 0.1733 | 4.93 | 3000 | 0.6622 | 0.3580 |
| 0.1391 | 6.57 | 4000 | 0.6768 | 0.3519 |
| 0.1193 | 8.21 | 5000 | 0.7559 | 0.3540 |
| 0.1053 | 9.85 | 6000 | 0.7873 | 0.3562 |
| 0.093 | 11.49 | 7000 | 0.8170 | 0.3612 |
| 0.0833 | 13.14 | 8000 | 0.8682 | 0.3579 |
| 0.0753 | 14.78 | 9000 | 0.8317 | 0.3573 |
| 0.0698 | 16.42 | 10000 | 0.9213 | 0.3525 |
| 0.0623 | 18.06 | 11000 | 0.9746 | 0.3531 |
| 0.0594 | 19.7 | 12000 | 1.0027 | 0.3502 |
| 0.0538 | 21.35 | 13000 | 1.0045 | 0.3545 |
| 0.0504 | 22.99 | 14000 | 0.9821 | 0.3523 |
| 0.0461 | 24.63 | 15000 | 1.0818 | 0.3462 |
| 0.0439 | 26.27 | 16000 | 1.0995 | 0.3495 |
| 0.0421 | 27.91 | 17000 | 1.0533 | 0.3430 |
| 0.0415 | 29.56 | 18000 | 1.0795 | 0.3452 |
Framework versions
- Transformers 4.11.3
- Pytorch 1.10.0+cu111
- Datasets 1.13.3
- Tokenizers 0.10.3
