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wav2vec2-xls-r-tf-left-right-shuru-word-level
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: 1.0504
- Wer: 0.6859
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
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1000
- num_epochs: 100
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 23.217 | 23.81 | 500 | 1.3437 | 0.6859 |
| 1.1742 | 47.62 | 1000 | 1.0397 | 0.6859 |
| 1.0339 | 71.43 | 1500 | 1.0155 | 0.6859 |
| 0.9909 | 95.24 | 2000 | 1.0504 | 0.6859 |
Framework versions
- Transformers 4.11.3
- Pytorch 1.10.0+cu111
- Datasets 1.13.3
- Tokenizers 0.10.3
