wav2vec2-E30_ps
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: 1.3344
- Cer: 26.2632
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 |
|---|---|---|---|---|
| 32.5841 | 0.1289 | 200 | 5.0826 | 100.0 |
| 5.3998 | 0.2579 | 400 | 4.6908 | 100.0 |
| 4.882 | 0.3868 | 600 | 4.7141 | 100.0 |
| 4.8041 | 0.5158 | 800 | 4.6746 | 100.0 |
| 4.7502 | 0.6447 | 1000 | 4.6224 | 100.0 |
| 4.7187 | 0.7737 | 1200 | 4.6150 | 100.0 |
| 4.6627 | 0.9026 | 1400 | 4.5518 | 99.8825 |
| 4.5966 | 1.0316 | 1600 | 4.5186 | 98.5488 |
| 4.5155 | 1.1605 | 1800 | 4.4687 | 98.7368 |
| 4.2292 | 1.2895 | 2000 | 4.3169 | 95.4642 |
| 3.3494 | 1.4184 | 2200 | 2.9891 | 55.7638 |
| 2.7084 | 1.5474 | 2400 | 2.6772 | 48.9718 |
| 2.3971 | 1.6763 | 2600 | 2.3131 | 43.8719 |
| 2.1476 | 1.8053 | 2800 | 2.0864 | 39.6240 |
| 1.9298 | 1.9342 | 3000 | 1.8900 | 35.7814 |
| 1.7723 | 2.0632 | 3200 | 1.7887 | 34.0952 |
| 1.657 | 2.1921 | 3400 | 1.6924 | 32.7203 |
| 1.4995 | 2.3211 | 3600 | 1.5108 | 29.1363 |
| 1.4486 | 2.4500 | 3800 | 1.4734 | 29.3420 |
| 1.3692 | 2.5790 | 4000 | 1.3831 | 27.1445 |
| 1.3174 | 2.7079 | 4200 | 1.3562 | 26.6216 |
| 1.2546 | 2.8369 | 4400 | 1.3616 | 26.7979 |
| 1.2237 | 2.9658 | 4600 | 1.3344 | 26.2632 |
Framework versions
- Transformers 4.46.3
- Pytorch 2.5.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3