wav2vec2-1b-E50_pause
This model is a fine-tuned version of facebook/wav2vec2-xls-r-1b on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.5661
- Cer: 14.9025
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: 2
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 50
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Cer |
|---|---|---|---|---|
| 9.6567 | 0.2580 | 200 | 4.5898 | 72.2862 |
| 1.9249 | 0.5160 | 400 | 1.6835 | 41.2594 |
| 1.1868 | 0.7741 | 600 | 1.2607 | 30.9857 |
| 0.9419 | 1.0321 | 800 | 0.9705 | 23.5021 |
| 0.7837 | 1.2901 | 1000 | 1.0440 | 25.7460 |
| 0.6973 | 1.5481 | 1200 | 0.8581 | 21.7105 |
| 0.6151 | 1.8062 | 1400 | 0.7932 | 20.0658 |
| 0.5503 | 2.0642 | 1600 | 0.9359 | 23.5844 |
| 0.4372 | 2.3222 | 1800 | 0.8297 | 21.2700 |
| 0.4198 | 2.5802 | 2000 | 0.7865 | 19.9307 |
| 0.3897 | 2.8383 | 2200 | 0.6945 | 18.1156 |
| 0.3544 | 3.0963 | 2400 | 0.6895 | 18.2096 |
| 0.338 | 3.3543 | 2600 | 0.6466 | 16.9290 |
| 0.301 | 3.6123 | 2800 | 0.7000 | 18.7030 |
| 0.276 | 3.8703 | 3000 | 0.5962 | 15.8717 |
| 0.2448 | 4.1284 | 3200 | 0.6127 | 16.2300 |
| 0.2117 | 4.3864 | 3400 | 0.6149 | 16.4591 |
| 0.2113 | 4.6444 | 3600 | 0.6135 | 16.1654 |
| 0.188 | 4.9024 | 3800 | 0.5661 | 14.9025 |
Framework versions
- Transformers 4.45.2
- Pytorch 2.3.1.post100
- Datasets 2.19.1
- Tokenizers 0.20.1