wav2vec2-xls-r-ewe-10-hours
This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.6649
- Wer: 0.4118
- Cer: 0.1205
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: 32
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 64
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 50
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer | Cer |
|---|---|---|---|---|---|
| 7.0566 | 16.6667 | 500 | 0.5253 | 0.4966 | 0.1391 |
| 0.7696 | 33.3333 | 1000 | 0.5621 | 0.4215 | 0.1243 |
| 0.3897 | 50.0 | 1500 | 0.6649 | 0.4118 | 0.1205 |
Framework versions
- Transformers 4.46.1
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.20.3
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Inference Providers
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Model tree for asr-africa/wav2vec2-xls-r-ewe-10-hours
Base model
facebook/wav2vec2-xls-r-300m