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wav2vec2-large-xls-r-300m-ur
This model is a fine-tuned version of anuragshas/wav2vec2-large-xls-r-300m-ur on the common_voice dataset. It achieves the following results on the evaluation set:
- Loss: 2.0508
- Wer: 0.7328
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: 7.5e-05
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.12
- num_epochs: 240
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.0719 | 66.67 | 400 | 1.8510 | 0.7432 |
| 0.0284 | 133.33 | 800 | 2.0088 | 0.7415 |
| 0.014 | 200.0 | 1200 | 2.0508 | 0.7328 |
Framework versions
- Transformers 4.15.0
- Pytorch 1.10.0+cu111
- Datasets 1.17.0
- Tokenizers 0.10.3
