ai-light-dance_stepmania_ft_wav2vec2-large-xlsr-53-v5
This model is a fine-tuned version of gary109/ai-light-dance_stepmania_ft_wav2vec2-large-xlsr-53-v4 on the GARY109/AI_LIGHT_DANCE - ONSET-STEPMANIA2 dataset. It achieves the following results on the evaluation set:
- Loss: 1.0163
- Wer: 0.6622
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-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 64
- 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 |
---|---|---|---|---|
0.8867 | 1.0 | 376 | 1.0382 | 0.6821 |
0.8861 | 2.0 | 752 | 1.0260 | 0.6686 |
0.8682 | 3.0 | 1128 | 1.0358 | 0.6604 |
0.8662 | 4.0 | 1504 | 1.0234 | 0.6665 |
0.8463 | 5.0 | 1880 | 1.0333 | 0.6666 |
0.8573 | 6.0 | 2256 | 1.0163 | 0.6622 |
0.8628 | 7.0 | 2632 | 1.0209 | 0.6551 |
0.8493 | 8.0 | 3008 | 1.0525 | 0.6582 |
0.8371 | 9.0 | 3384 | 1.0409 | 0.6515 |
0.8229 | 10.0 | 3760 | 1.0597 | 0.6523 |
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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