ai-light-dance_singing2_ft_wav2vec2-large-xlsr-53-5gram-v4-2
This model is a fine-tuned version of gary109/ai-light-dance_singing2_ft_wav2vec2-large-xlsr-53-5gram-v4-1 on the GARY109/AI_LIGHT_DANCE - ONSET-SINGING2 dataset. It achieves the following results on the evaluation set:
- Loss: 0.2691
- Wer: 0.0910
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: 3e-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- num_epochs: 10.0
- mixed_precision_training: Native AMP
Training results
Training Loss | Epoch | Step | Validation Loss | Wer |
---|---|---|---|---|
0.2664 | 1.0 | 8969 | 0.3347 | 0.1645 |
0.2032 | 2.0 | 17938 | 0.3170 | 0.1662 |
0.1888 | 3.0 | 26907 | 0.3188 | 0.1317 |
0.1774 | 4.0 | 35876 | 0.2885 | 0.1195 |
0.0696 | 5.0 | 44845 | 0.2703 | 0.1105 |
0.254 | 6.0 | 53814 | 0.2817 | 0.0972 |
0.0464 | 7.0 | 62783 | 0.2691 | 0.0910 |
0.0426 | 8.0 | 71752 | 0.3033 | 0.0875 |
0.035 | 9.0 | 80721 | 0.3150 | 0.0841 |
0.0274 | 10.0 | 89690 | 0.3073 | 0.0816 |
Framework versions
- Transformers 4.21.0.dev0
- Pytorch 1.9.1+cu102
- Datasets 2.3.3.dev0
- Tokenizers 0.12.1
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