wav2vec2-xls-r-common_voice-tr-ft-500sh
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: 0.5794
- Wer: 0.4009
- Cer: 0.1032
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 |
|---|---|---|---|---|---|
| 0.5288 | 17.0 | 500 | 0.5099 | 0.5426 | 0.1432 |
| 0.2967 | 34.0 | 1000 | 0.5421 | 0.4746 | 0.1256 |
| 0.2447 | 51.0 | 1500 | 0.5347 | 0.4831 | 0.1267 |
| 0.122 | 68.01 | 2000 | 0.5854 | 0.4479 | 0.1161 |
| 0.1035 | 86.0 | 2500 | 0.5597 | 0.4457 | 0.1166 |
| 0.081 | 103.0 | 3000 | 0.5748 | 0.4250 | 0.1144 |
| 0.0849 | 120.0 | 3500 | 0.5598 | 0.4337 | 0.1145 |
| 0.0542 | 137.01 | 4000 | 0.5687 | 0.4223 | 0.1097 |
| 0.0318 | 155.0 | 4500 | 0.5904 | 0.4057 | 0.1052 |
| 0.0106 | 172.0 | 5000 | 0.5794 | 0.4009 | 0.1032 |
Framework versions
- Transformers 4.17.0.dev0
- Pytorch 1.10.2
- Datasets 1.18.2
- Tokenizers 0.10.3