Downloads · 30 days
10
2% of all-time downloads
ai-light-dance_stepmania_ft_wav2vec2-large-xlsr-53-v6
gary109/ai-light-dance_stepmania_ft_wav2vec2-large-xlsr-53-v6
ai-light-dance_stepmania_ft_wav2vec2-large-xlsr-53-v6 is a automatic speech recognition model from gary109. Use it when you need speech turned into text. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
All-time downloads
433
Public
Repo size
3.8 GB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin1.3 GB · 100%
At a glance
- Task
- Automatic Speech Recognition
- Library
- transformers
- License
- apache-2.0
- Model type
- wav2vec2
- Access
- Public
- Created
- Jun 28, 2022
- Updated
- Jun 29, 2022
- SHA
- 74f0750e
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
ai-light-dance_stepmania_ft_wav2vec2-large-xlsr-53-v6
This model is a fine-tuned version of gary109/ai-light-dance_stepmania_ft_wav2vec2-large-xlsr-53-v5 on the GARY109/AI_LIGHT_DANCE - ONSET-STEPMANIA2 dataset. It achieves the following results on the evaluation set:
- Loss: 1.0063
- Wer: 0.6580
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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- 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 |
|---|---|---|---|---|
| 0.8572 | 1.0 | 376 | 1.0508 | 0.6601 |
| 0.8671 | 2.0 | 752 | 1.0755 | 0.6581 |
| 0.8578 | 3.0 | 1128 | 1.0152 | 0.6787 |
| 0.8552 | 4.0 | 1504 | 1.0537 | 0.6557 |
| 0.8354 | 5.0 | 1880 | 1.0386 | 0.6606 |
| 0.8543 | 6.0 | 2256 | 1.0063 | 0.6580 |
| 0.8556 | 7.0 | 2632 | 1.0487 | 0.6499 |
| 0.8356 | 8.0 | 3008 | 1.0407 | 0.6549 |
| 0.8227 | 9.0 | 3384 | 1.0382 | 0.6506 |
| 0.8148 | 10.0 | 3760 | 1.0440 | 0.6500 |
Framework versions
- Transformers 4.21.0.dev0
- Pytorch 1.11.0+cu113
- Datasets 2.3.3.dev0
- Tokenizers 0.12.1
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- wav2vec2
- License
- apache-2.0
- Created
- Jun 28, 2022
- Updated
- Jun 29, 2022