wav2vec2-xls-r-1b-closest-to-faroese-1-epoch
This model is a fine-tuned version of facebook/wav2vec2-xls-r-1b on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.5527
- Wer: 58.5686
- Cer: 17.3164
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: 5e-05
- train_batch_size: 2
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 32
- optimizer: Use 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_steps: 500
- num_epochs: 1
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer | Cer |
|---|---|---|---|---|---|
| 11.8455 | 0.3349 | 1000 | 0.7115 | 69.7810 | 20.9775 |
| 8.416 | 0.6698 | 2000 | 0.5527 | 58.5686 | 17.3164 |
Framework versions
- Transformers 4.46.1
- Pytorch 2.5.1+cu118
- Datasets 3.1.0
- Tokenizers 0.20.1
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Model tree for davidilag/wav2vec2-xls-r-1b-closest-to-faroese-1-epoch
Base model
facebook/wav2vec2-xls-r-1b