wav2vec2-1b-E10_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: 0.7836
- Cer: 21.4932
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 |
|---|---|---|---|---|
| 10.4923 | 0.2580 | 200 | 4.9842 | 96.2289 |
| 4.7652 | 0.5160 | 400 | 5.0307 | 96.2230 |
| 4.0439 | 0.7741 | 600 | 3.6510 | 78.3365 |
| 1.695 | 1.0321 | 800 | 1.5850 | 43.7030 |
| 1.117 | 1.2901 | 1000 | 1.4627 | 38.2108 |
| 0.947 | 1.5481 | 1200 | 1.3708 | 35.0740 |
| 0.839 | 1.8062 | 1400 | 1.1110 | 32.1781 |
| 0.7141 | 2.0642 | 1600 | 1.2207 | 33.8463 |
| 0.5813 | 2.3222 | 1800 | 1.1949 | 32.5658 |
| 0.5561 | 2.5802 | 2000 | 1.0831 | 29.2411 |
| 0.4987 | 2.8383 | 2200 | 1.0766 | 29.0942 |
| 0.4244 | 3.0963 | 2400 | 0.9577 | 26.7328 |
| 0.3747 | 3.3543 | 2600 | 0.9733 | 26.6154 |
| 0.3351 | 3.6123 | 2800 | 0.8039 | 22.2686 |
| 0.3073 | 3.8703 | 3000 | 0.8293 | 23.2613 |
| 0.276 | 4.1284 | 3200 | 0.8784 | 23.6372 |
| 0.24 | 4.3864 | 3400 | 0.8575 | 23.6783 |
| 0.2281 | 4.6444 | 3600 | 0.8142 | 22.2509 |
| 0.2074 | 4.9024 | 3800 | 0.7836 | 21.4932 |
Framework versions
- Transformers 4.45.2
- Pytorch 2.3.1.post100
- Datasets 2.19.1
- Tokenizers 0.20.1