wav2vec2-large-xls-r-300m-tr-cv6.1
This model is a fine-tuned version of rumeyskeskn/wav2vec2-large-xls-r-300m-tr-cv6.1 on the common_voice_6_1 dataset. It achieves the following results on the evaluation set:
- Loss: 0.5295
- Wer: 0.4836
Model description
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Intended uses & limitations
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Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.0003
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 20
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 2.715 | 6.96 | 400 | 0.6946 | 0.6729 |
| 0.3226 | 13.91 | 800 | 0.5295 | 0.4836 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
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