wav2vec2-E50_speed_pause3
This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.1482
- Cer: 22.9260
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 50
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Cer |
|---|---|---|---|---|
| 30.2016 | 0.1289 | 200 | 4.9200 | 100.0 |
| 4.8946 | 0.2579 | 400 | 4.6516 | 100.0 |
| 4.7791 | 0.3868 | 600 | 4.7626 | 98.3020 |
| 4.6864 | 0.5158 | 800 | 4.5883 | 97.9377 |
| 4.6296 | 0.6447 | 1000 | 4.6020 | 97.9318 |
| 4.6182 | 0.7737 | 1200 | 4.5626 | 97.7850 |
| 4.5557 | 0.9026 | 1400 | 4.4614 | 97.2033 |
| 4.4045 | 1.0316 | 1600 | 4.3001 | 95.7051 |
| 3.8003 | 1.1605 | 1800 | 3.5020 | 62.4089 |
| 2.9909 | 1.2895 | 2000 | 2.6455 | 49.1481 |
| 2.5693 | 1.4184 | 2200 | 2.4584 | 44.4418 |
| 2.2791 | 1.5474 | 2400 | 2.1281 | 39.1539 |
| 2.0778 | 1.6763 | 2600 | 1.8969 | 35.5875 |
| 1.8906 | 1.8053 | 2800 | 1.7522 | 32.5617 |
| 1.7518 | 1.9342 | 3000 | 1.6432 | 31.2397 |
| 1.6004 | 2.0632 | 3200 | 1.5258 | 29.3890 |
| 1.4787 | 2.1921 | 3400 | 1.4629 | 28.5664 |
| 1.3618 | 2.3211 | 3600 | 1.3416 | 25.9577 |
| 1.2967 | 2.4500 | 3800 | 1.3214 | 26.0752 |
| 1.2639 | 2.5790 | 4000 | 1.2388 | 24.6886 |
| 1.2042 | 2.7079 | 4200 | 1.2169 | 24.2656 |
| 1.1546 | 2.8369 | 4400 | 1.1823 | 23.6486 |
| 1.1147 | 2.9658 | 4600 | 1.1482 | 22.9260 |
Framework versions
- Transformers 4.46.2
- Pytorch 2.5.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3