wav2vec2-large-xls-r-300m-hungarian-colab
This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the common_voice dataset. It achieves the following results on the evaluation set:
- Loss: 0.6404
- Wer: 0.4662
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: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- 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 |
---|---|---|---|---|
0.4833 | 4.0 | 400 | 0.6493 | 0.6491 |
0.2282 | 8.0 | 800 | 0.6395 | 0.5555 |
0.1612 | 12.0 | 1200 | 0.6841 | 0.5423 |
0.1207 | 16.0 | 1600 | 0.6646 | 0.5224 |
0.0929 | 20.0 | 2000 | 0.6355 | 0.4908 |
0.0713 | 24.0 | 2400 | 0.6410 | 0.4711 |
0.0613 | 28.0 | 2800 | 0.6404 | 0.4662 |
Framework versions
- Transformers 4.11.3
- Pytorch 1.10.0+cu113
- Datasets 1.18.3
- Tokenizers 0.10.3
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