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m16_main
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: 0.0731
- Wer: 1.6114
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: 8
- 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: 7
- mixed_precision_training: Native AMP
Training results
Training Loss | Epoch | Step | Validation Loss | Wer |
---|---|---|---|---|
9.4932 | 0.96 | 500 | 3.4413 | 1.0 |
2.6724 | 1.92 | 1000 | 1.8081 | 2.5404 |
1.1058 | 2.88 | 1500 | 0.3228 | 2.0631 |
0.3056 | 3.84 | 2000 | 0.1657 | 1.8225 |
0.1465 | 4.8 | 2500 | 0.1068 | 1.6588 |
0.0925 | 5.76 | 3000 | 0.0892 | 1.6331 |
0.0669 | 6.72 | 3500 | 0.0731 | 1.6114 |
Framework versions
- Transformers 4.17.0
- Pytorch 1.13.1+cu116
- Datasets 1.18.3
- Tokenizers 0.13.2