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wav2vec2-base-checkpoint-11.1
This model is a fine-tuned version of jiobiala24/wav2vec2-base-checkpoint-10 on the common_voice dataset. It achieves the following results on the evaluation set:
- Loss: 1.0173
- Wer: 0.3350
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 |
|---|---|---|---|---|
| 0.2788 | 1.52 | 1000 | 0.5776 | 0.3410 |
| 0.2277 | 3.04 | 2000 | 0.6148 | 0.3465 |
| 0.1772 | 4.56 | 3000 | 0.6497 | 0.3497 |
| 0.1528 | 6.08 | 4000 | 0.6786 | 0.3430 |
| 0.1285 | 7.6 | 5000 | 0.6779 | 0.3489 |
| 0.1104 | 9.12 | 6000 | 0.7417 | 0.3528 |
| 0.0965 | 10.64 | 7000 | 0.7956 | 0.3477 |
| 0.0914 | 12.16 | 8000 | 0.7994 | 0.3570 |
| 0.082 | 13.68 | 9000 | 0.8690 | 0.3510 |
| 0.0788 | 15.2 | 10000 | 0.8569 | 0.3526 |
| 0.0727 | 16.72 | 11000 | 0.8885 | 0.3440 |
| 0.0656 | 18.24 | 12000 | 0.9586 | 0.3476 |
| 0.0608 | 19.76 | 13000 | 0.9317 | 0.3495 |
| 0.0588 | 21.28 | 14000 | 0.9809 | 0.3449 |
| 0.0547 | 22.8 | 15000 | 0.9552 | 0.3421 |
| 0.0519 | 24.32 | 16000 | 0.9782 | 0.3380 |
| 0.0474 | 25.84 | 17000 | 0.9923 | 0.3386 |
| 0.046 | 27.36 | 18000 | 0.9984 | 0.3347 |
| 0.045 | 28.88 | 19000 | 1.0173 | 0.3350 |
Framework versions
- Transformers 4.11.3
- Pytorch 1.10.0+cu111
- Datasets 1.13.3
- Tokenizers 0.10.3
