wav2vec2-large-xls-r-300m-dutch-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: 0.5842
- Wer: 0.4722
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: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 3.9298 | 1.15 | 400 | 1.4816 | 0.9225 |
| 0.7279 | 2.31 | 800 | 0.5842 | 0.4722 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.1
- Tokenizers 0.13.3
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Model tree for vioannidis/wav2vec2-large-xls-r-300m-dutch-colab
Base model
facebook/wav2vec2-xls-r-300mDataset used to train vioannidis/wav2vec2-large-xls-r-300m-dutch-colab
Evaluation results
- Wer on common_voicetest set self-reported0.472