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wav2vec2-base-checkpoint-10
This model is a fine-tuned version of jiobiala24/wav2vec2-base-checkpoint-9 on the common_voice dataset. It achieves the following results on the evaluation set:
- Loss: 0.9567
- Wer: 0.3292
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 |
|---|---|---|---|---|
| 0.2892 | 1.62 | 1000 | 0.5745 | 0.3467 |
| 0.235 | 3.23 | 2000 | 0.6156 | 0.3423 |
| 0.1782 | 4.85 | 3000 | 0.6299 | 0.3484 |
| 0.1504 | 6.46 | 4000 | 0.6475 | 0.3446 |
| 0.133 | 8.08 | 5000 | 0.6753 | 0.3381 |
| 0.115 | 9.69 | 6000 | 0.7834 | 0.3529 |
| 0.101 | 11.31 | 7000 | 0.7924 | 0.3426 |
| 0.0926 | 12.92 | 8000 | 0.7887 | 0.3465 |
| 0.0863 | 14.54 | 9000 | 0.7674 | 0.3439 |
| 0.0788 | 16.16 | 10000 | 0.8648 | 0.3435 |
| 0.0728 | 17.77 | 11000 | 0.8460 | 0.3395 |
| 0.0693 | 19.39 | 12000 | 0.8941 | 0.3451 |
| 0.0637 | 21.0 | 13000 | 0.9079 | 0.3356 |
| 0.0584 | 22.62 | 14000 | 0.8851 | 0.3336 |
| 0.055 | 24.23 | 15000 | 0.9400 | 0.3338 |
| 0.0536 | 25.85 | 16000 | 0.9387 | 0.3335 |
| 0.0481 | 27.46 | 17000 | 0.9664 | 0.3337 |
| 0.0485 | 29.08 | 18000 | 0.9567 | 0.3292 |
Framework versions
- Transformers 4.11.3
- Pytorch 1.10.0+cu111
- Datasets 1.13.3
- Tokenizers 0.10.3
