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xls-r-asr_xh-run5
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.5215
- Wer: 0.5199
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: 16
- 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_steps: 500
- num_epochs: 30
- mixed_precision_training: Native AMP
Training results
Training Loss | Epoch | Step | Validation Loss | Wer |
---|---|---|---|---|
0.1254 | 2.55 | 100 | 0.4435 | 0.5015 |
0.0978 | 5.1 | 200 | 0.4910 | 0.4979 |
0.0943 | 7.64 | 300 | 0.5215 | 0.5199 |
Framework versions
- Transformers 4.28.0
- Pytorch 2.0.1+cu117
- Datasets 2.14.4
- Tokenizers 0.13.3