wav2vec2-xls-r-common_voice-tr-ft
This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the COMMON_VOICE - TR dataset. It achieves the following results on the evaluation set:
- Loss: 0.5806
- Wer: 0.3998
- Cer: 0.1053
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: 0.0005
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 2
- total_train_batch_size: 64
- total_eval_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 5000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer | Cer |
|---|---|---|---|---|---|
| 0.5369 | 17.0 | 500 | 0.6021 | 0.6366 | 0.1727 |
| 0.3542 | 34.0 | 1000 | 0.5265 | 0.4906 | 0.1278 |
| 0.1866 | 51.0 | 1500 | 0.5805 | 0.4768 | 0.1261 |
| 0.1674 | 68.01 | 2000 | 0.5336 | 0.4518 | 0.1186 |
| 0.19 | 86.0 | 2500 | 0.5676 | 0.4427 | 0.1151 |
| 0.0815 | 103.0 | 3000 | 0.5510 | 0.4268 | 0.1125 |
| 0.0545 | 120.0 | 3500 | 0.5608 | 0.4175 | 0.1099 |
| 0.0299 | 137.01 | 4000 | 0.5875 | 0.4222 | 0.1124 |
| 0.0267 | 155.0 | 4500 | 0.5882 | 0.4026 | 0.1063 |
| 0.025 | 172.0 | 5000 | 0.5806 | 0.3998 | 0.1053 |
Framework versions
- Transformers 4.17.0.dev0
- Pytorch 1.10.2
- Datasets 1.18.2
- Tokenizers 0.10.3