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f05
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: 0.3985
- Wer: 1.8645
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 |
---|---|---|---|---|
9.5876 | 1.34 | 500 | 3.0853 | 1.0 |
2.9729 | 2.67 | 1000 | 2.5647 | 2.0376 |
1.7064 | 4.01 | 1500 | 1.0901 | 2.1287 |
0.4304 | 5.35 | 2000 | 0.4344 | 1.9113 |
0.1434 | 6.68 | 2500 | 0.3985 | 1.8645 |
Framework versions
- Transformers 4.17.0
- Pytorch 1.13.1+cu116
- Datasets 1.18.3
- Tokenizers 0.13.2