ai-light-dance_stepmania_ft_wav2vec2-large-xlsr-53-v3
This model is a fine-tuned version of gary109/ai-light-dance_stepmania_ft_wav2vec2-large-xlsr-53-v2 on the GARY109/AI_LIGHT_DANCE - ONSET-STEPMANIA2 dataset. It achieves the following results on the evaluation set:
- Loss: 1.0734
- Wer: 0.6928
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: 4e-06
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 128
- 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 |
---|---|---|---|---|
0.9189 | 1.0 | 188 | 1.0770 | 0.7002 |
0.9172 | 2.0 | 376 | 1.0780 | 0.6955 |
0.9177 | 3.0 | 564 | 1.0824 | 0.6916 |
0.9184 | 4.0 | 752 | 1.0734 | 0.6928 |
0.9072 | 5.0 | 940 | 1.0841 | 0.6897 |
0.9089 | 6.0 | 1128 | 1.0788 | 0.6870 |
0.9174 | 7.0 | 1316 | 1.0761 | 0.6856 |
0.9072 | 8.0 | 1504 | 1.0776 | 0.6850 |
0.9079 | 9.0 | 1692 | 1.0795 | 0.6852 |
0.9016 | 10.0 | 1880 | 1.0817 | 0.6850 |
Framework versions
- Transformers 4.21.0.dev0
- Pytorch 1.11.0+cu113
- Datasets 2.3.3.dev0
- Tokenizers 0.12.1
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