metadata
license: apache-2.0
tags:
- automatic-speech-recognition
- /workspace/asante/ai-light-dance_datasets/AI_Light_Dance.py
- generated_from_trainer
model-index:
- name: ai-light-dance_singing2_ft_wav2vec2-large-xlsr-53
results: []
ai-light-dance_singing2_ft_wav2vec2-large-xlsr-53
This model is a fine-tuned version of facebook/wav2vec2-large-xlsr-53 on the /WORKSPACE/ASANTE/AI-LIGHT-DANCE_DATASETS/AI_LIGHT_DANCE.PY - ONSET-SINGING2 dataset. It achieves the following results on the evaluation set:
- Loss: 1.7583
- Wer: 0.9386
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: 10
- eval_batch_size: 10
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 160
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- num_epochs: 30.0
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 27.4755 | 1.0 | 112 | 23.2618 | 1.0 |
| 5.5145 | 2.0 | 224 | 5.2213 | 1.0 |
| 4.2211 | 3.0 | 336 | 4.1673 | 1.0 |
| 3.8386 | 4.0 | 448 | 3.8253 | 1.0 |
| 3.5531 | 5.0 | 560 | 3.6286 | 1.0 |
| 3.5215 | 6.0 | 672 | 3.4762 | 0.9864 |
| 3.3493 | 7.0 | 784 | 3.3549 | 0.9847 |
| 3.1264 | 8.0 | 896 | 3.1797 | 0.9759 |
| 2.7557 | 9.0 | 1008 | 2.8703 | 0.9865 |
| 2.6345 | 10.0 | 1120 | 2.6736 | 0.9970 |
| 2.4297 | 11.0 | 1232 | 2.5638 | 1.0337 |
| 2.3057 | 12.0 | 1344 | 2.3680 | 0.9839 |
| 2.1436 | 13.0 | 1456 | 2.2367 | 0.9648 |
| 2.0856 | 14.0 | 1568 | 2.1635 | 0.9586 |
| 2.0035 | 15.0 | 1680 | 2.0945 | 0.9645 |
| 1.9134 | 16.0 | 1792 | 2.0395 | 0.9630 |
| 1.9443 | 17.0 | 1904 | 2.0017 | 0.9401 |
| 1.8988 | 18.0 | 2016 | 1.9514 | 0.9493 |
| 1.8141 | 19.0 | 2128 | 1.9111 | 0.9475 |
| 1.8344 | 20.0 | 2240 | 1.8790 | 0.9395 |
| 1.7775 | 21.0 | 2352 | 1.8616 | 0.9503 |
| 1.7517 | 22.0 | 2464 | 1.8333 | 0.9433 |
| 1.7037 | 23.0 | 2576 | 1.8156 | 0.9372 |
| 1.7158 | 24.0 | 2688 | 1.7961 | 0.9482 |
| 1.7111 | 25.0 | 2800 | 1.7817 | 0.9422 |
| 1.69 | 26.0 | 2912 | 1.7819 | 0.9430 |
| 1.6889 | 27.0 | 3024 | 1.7721 | 0.9386 |
| 1.6546 | 28.0 | 3136 | 1.7647 | 0.9453 |
| 1.6542 | 29.0 | 3248 | 1.7653 | 0.9375 |
| 1.647 | 30.0 | 3360 | 1.7583 | 0.9386 |
Framework versions
- Transformers 4.21.0.dev0
- Pytorch 1.9.1+cu102
- Datasets 2.3.3.dev0
- Tokenizers 0.12.1