wav2vec2-xls-r-300m-fleurs-mk
This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m for the Macedonian language using the train and validation splits of the FLEURS dataset. It achieves the following results on the evaluation set:
- Loss: 0.1416
- WER: 0.1565
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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 9.3
- mixed_precision_training: Native AMP
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.0
- Tokenizers 0.15.1
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Model tree for dtrifuno/wav2vec2-xls-r-300m-fleurs-mk
Base model
facebook/wav2vec2-xls-r-300m