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dys_asr_noself
This model is a fine-tuned version of facebook/wav2vec2-large-960h-lv60 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0140
- Wer: 1.0031
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 |
---|---|---|---|---|
10.2127 | 1.36 | 500 | 2.8009 | 1.0 |
2.2328 | 2.72 | 1000 | 0.7560 | 1.8847 |
0.5913 | 4.09 | 1500 | 0.0921 | 1.0748 |
0.1839 | 5.45 | 2000 | 0.0248 | 1.0312 |
0.1122 | 6.81 | 2500 | 0.0140 | 1.0031 |
Framework versions
- Transformers 4.17.0
- Pytorch 1.13.1+cu116
- Datasets 1.18.3
- Tokenizers 0.13.2