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wav2vec2-large-xls-r-300m-slowenian-with-lm
This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.3935
- Wer: 0.3480
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: 0.0001
- train_batch_size: 32
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 50
- num_epochs: 30
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 7.9937 | 2.5 | 100 | 3.1565 | 1.0 |
| 3.0466 | 5.0 | 200 | 3.0009 | 0.9992 |
| 2.9708 | 7.5 | 300 | 2.9494 | 0.9992 |
| 2.0519 | 10.0 | 400 | 0.8874 | 0.7290 |
| 0.5773 | 12.5 | 500 | 0.5258 | 0.5037 |
| 0.3427 | 15.0 | 600 | 0.4767 | 0.4649 |
| 0.2612 | 17.5 | 700 | 0.4549 | 0.4209 |
| 0.212 | 20.0 | 800 | 0.4294 | 0.3860 |
| 0.1748 | 22.5 | 900 | 0.4085 | 0.3769 |
| 0.1587 | 25.0 | 1000 | 0.4017 | 0.3673 |
| 0.1435 | 27.5 | 1100 | 0.3927 | 0.3538 |
| 0.1314 | 30.0 | 1200 | 0.3935 | 0.3480 |
Framework versions
- Transformers 4.17.0
- Pytorch 1.9.0+cu111
- Datasets 1.18.4
- Tokenizers 0.11.6
