metadata
license: apache-2.0
base_model: facebook/wav2vec2-xls-r-300m
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: XLS-R_Synthesis_ALL_v1
results: []
XLS-R_Synthesis_ALL_v1
This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1635
- Wer: 0.1696
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: 18
- eval_batch_size: 9
- seed: 42
- distributed_type: multi-GPU
- num_devices: 2
- gradient_accumulation_steps: 2
- total_train_batch_size: 72
- total_eval_batch_size: 18
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: polynomial
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 100.0
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 4.5765 | 1.0 | 2611 | 1.4891 | 0.9957 |
| 0.7865 | 2.0 | 5223 | 0.3830 | 0.4573 |
| 0.4459 | 3.0 | 7834 | 0.2696 | 0.3355 |
| 0.3452 | 4.0 | 10446 | 0.2259 | 0.2741 |
| 0.2932 | 5.0 | 13057 | 0.2103 | 0.2403 |
| 0.2617 | 6.0 | 15669 | 0.1945 | 0.2206 |
| 0.2421 | 7.0 | 18280 | 0.1853 | 0.2170 |
| 0.2285 | 8.0 | 20892 | 0.1780 | 0.2050 |
| 0.2184 | 9.0 | 23503 | 0.1864 | 0.1997 |
| 0.2115 | 10.0 | 26115 | 0.1737 | 0.1980 |
| 0.2048 | 11.0 | 28726 | 0.1703 | 0.1926 |
| 0.195 | 12.0 | 31338 | 0.1830 | 0.1892 |
| 0.1864 | 13.0 | 33949 | 0.1676 | 0.1844 |
| 0.1785 | 14.0 | 36561 | 0.1609 | 0.1770 |
| 0.1727 | 15.0 | 39172 | 0.1690 | 0.1751 |
| 0.1676 | 16.0 | 41784 | 0.1639 | 0.1750 |
| 0.1638 | 17.0 | 44395 | 0.1634 | 0.1751 |
| 0.1594 | 18.0 | 47007 | 0.1659 | 0.1769 |
| 0.1553 | 19.0 | 49618 | 0.1635 | 0.1696 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.1+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0