wav2vec2-E50_freq_speed_pause2
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: 1.2004
- Cer: 25.1351
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 |
|---|---|---|---|---|
| 31.4584 | 0.1289 | 200 | 5.0025 | 100.0 |
| 4.882 | 0.2579 | 400 | 4.6922 | 100.0 |
| 4.7642 | 0.3868 | 600 | 4.7290 | 100.0 |
| 4.7287 | 0.5158 | 800 | 4.6828 | 100.0 |
| 4.6641 | 0.6447 | 1000 | 4.6322 | 100.0 |
| 4.6322 | 0.7737 | 1200 | 4.5289 | 100.0 |
| 4.5965 | 0.9026 | 1400 | 4.5190 | 98.8132 |
| 4.4551 | 1.0316 | 1600 | 4.3994 | 97.3678 |
| 3.9667 | 1.1605 | 1800 | 3.5939 | 65.2409 |
| 3.138 | 1.2895 | 2000 | 2.8840 | 52.5147 |
| 2.6722 | 1.4184 | 2200 | 2.4844 | 44.6122 |
| 2.3367 | 1.5474 | 2400 | 2.1465 | 39.5300 |
| 2.1071 | 1.6763 | 2600 | 1.9978 | 37.5206 |
| 1.9574 | 1.8053 | 2800 | 1.8497 | 35.2585 |
| 1.7583 | 1.9342 | 3000 | 1.6906 | 33.4195 |
| 1.6158 | 2.0632 | 3200 | 1.5764 | 31.8096 |
| 1.4885 | 2.1921 | 3400 | 1.4695 | 30.5582 |
| 1.3927 | 2.3211 | 3600 | 1.4137 | 29.6710 |
| 1.3595 | 2.4500 | 3800 | 1.3518 | 27.6146 |
| 1.2957 | 2.5790 | 4000 | 1.2965 | 26.9036 |
| 1.2472 | 2.7079 | 4200 | 1.2612 | 25.9929 |
| 1.1913 | 2.8369 | 4400 | 1.2208 | 25.4289 |
| 1.1683 | 2.9658 | 4600 | 1.2004 | 25.1351 |
Framework versions
- Transformers 4.46.2
- Pytorch 2.5.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3