wav2vec2-large-xls-r-300m-vi-colab
This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the common_voice_11_0 dataset. It achieves the following results on the evaluation set:
- Loss: 1.5942
- Wer: 0.6297
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
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 7.514 | 4.6 | 400 | 3.3352 | 1.0 |
| 0.9018 | 9.2 | 800 | 1.4660 | 0.7177 |
| 0.2284 | 13.79 | 1200 | 1.5156 | 0.6873 |
| 0.138 | 18.39 | 1600 | 1.5294 | 0.6599 |
| 0.0959 | 22.99 | 2000 | 1.5876 | 0.6485 |
| 0.0703 | 27.59 | 2400 | 1.5942 | 0.6297 |
Framework versions
- Transformers 4.34.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.7.dev0
- Tokenizers 0.14.1
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Base model
facebook/wav2vec2-xls-r-300m