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ezra-wav2vec2-large-xls-r-300m-turkish-colab
This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the common_voice dataset. It achieves the following results on the evaluation set:
- Loss: 0.3891
- Wer: 0.3459
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: 0.0003
- 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: 30
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 3.8755 | 3.67 | 400 | 0.6685 | 0.7130 |
| 0.4087 | 7.34 | 800 | 0.4413 | 0.4598 |
| 0.1917 | 11.01 | 1200 | 0.4143 | 0.4399 |
| 0.1318 | 14.68 | 1600 | 0.4082 | 0.3908 |
| 0.1035 | 18.35 | 2000 | 0.4184 | 0.3926 |
| 0.0801 | 22.02 | 2400 | 0.3847 | 0.3751 |
| 0.0604 | 25.69 | 2800 | 0.4148 | 0.3591 |
| 0.0501 | 29.36 | 3200 | 0.3891 | 0.3459 |
Framework versions
- Transformers 4.34.0
- Pytorch 2.1.0+cu121
- Datasets 2.14.5
- Tokenizers 0.14.1
