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---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: ai-light-dance_singing3_ft_wav2vec2-large-xlsr-53-v1
results: []
---
<!-- 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_singing3_ft_wav2vec2-large-xlsr-53-v1
This model is a fine-tuned version of [gary109/ai-light-dance_singing3_ft_wav2vec2-large-xlsr-53-v1](https://huggingface.co/gary109/ai-light-dance_singing3_ft_wav2vec2-large-xlsr-53-v1) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5583
- Wer: 0.2403
## 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: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 50.0
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|:-------------:|:-----:|:-----:|:---------------:|:------:|
| 0.4806 | 1.0 | 1154 | 0.5674 | 0.2700 |
| 0.4109 | 2.0 | 2308 | 0.5667 | 0.2740 |
| 0.4183 | 3.0 | 3462 | 0.5651 | 0.2742 |
| 0.4618 | 4.0 | 4616 | 0.5653 | 0.2675 |
| 0.4179 | 5.0 | 5770 | 0.5541 | 0.2697 |
| 0.4376 | 6.0 | 6924 | 0.5799 | 0.2691 |
| 0.4341 | 7.0 | 8078 | 0.5593 | 0.2649 |
| 0.4234 | 8.0 | 9232 | 0.5489 | 0.2652 |
| 0.3965 | 9.0 | 10386 | 0.5606 | 0.2601 |
| 0.4383 | 10.0 | 11540 | 0.5630 | 0.2607 |
| 0.4245 | 11.0 | 12694 | 0.5647 | 0.2561 |
| 0.3946 | 12.0 | 13848 | 0.5526 | 0.2635 |
| 0.3722 | 13.0 | 15002 | 0.5786 | 0.2565 |
| 0.3558 | 14.0 | 16156 | 0.5589 | 0.2638 |
| 0.392 | 15.0 | 17310 | 0.5581 | 0.2593 |
| 0.401 | 16.0 | 18464 | 0.5528 | 0.2566 |
| 0.4391 | 17.0 | 19618 | 0.5584 | 0.2554 |
| 0.4082 | 18.0 | 20772 | 0.5610 | 0.2528 |
| 0.4316 | 19.0 | 21926 | 0.5408 | 0.2507 |
| 0.3136 | 20.0 | 23080 | 0.5592 | 0.2525 |
| 0.4249 | 21.0 | 24234 | 0.5684 | 0.2560 |
| 0.4993 | 22.0 | 25388 | 0.5521 | 0.2529 |
| 0.4006 | 23.0 | 26542 | 0.5391 | 0.2540 |
| 0.3415 | 24.0 | 27696 | 0.5622 | 0.2503 |
| 0.3938 | 25.0 | 28850 | 0.5533 | 0.2541 |
| 0.4509 | 26.0 | 30004 | 0.5567 | 0.2486 |
| 0.3583 | 27.0 | 31158 | 0.5641 | 0.2523 |
| 0.4084 | 28.0 | 32312 | 0.5687 | 0.2521 |
| 0.3916 | 29.0 | 33466 | 0.5656 | 0.2495 |
| 0.4298 | 30.0 | 34620 | 0.5718 | 0.2499 |
| 0.3544 | 31.0 | 35774 | 0.5595 | 0.2445 |
| 0.3748 | 32.0 | 36928 | 0.5464 | 0.2461 |
| 0.3839 | 33.0 | 38082 | 0.5652 | 0.2475 |
| 0.3691 | 34.0 | 39236 | 0.5551 | 0.2428 |
| 0.3076 | 35.0 | 40390 | 0.5554 | 0.2463 |
| 0.3886 | 36.0 | 41544 | 0.5588 | 0.2461 |
| 0.41 | 37.0 | 42698 | 0.5601 | 0.2507 |
| 0.3595 | 38.0 | 43852 | 0.5645 | 0.2425 |
| 0.4174 | 39.0 | 45006 | 0.5561 | 0.2422 |
| 0.3801 | 40.0 | 46160 | 0.5554 | 0.2427 |
| 0.3513 | 41.0 | 47314 | 0.5599 | 0.2420 |
| 0.3739 | 42.0 | 48468 | 0.5669 | 0.2418 |
| 0.3702 | 43.0 | 49622 | 0.5646 | 0.2441 |
| 0.3444 | 44.0 | 50776 | 0.5658 | 0.2413 |
| 0.3152 | 45.0 | 51930 | 0.5559 | 0.2402 |
| 0.4 | 46.0 | 53084 | 0.5599 | 0.2429 |
| 0.4154 | 47.0 | 54238 | 0.5568 | 0.2430 |
| 0.3158 | 48.0 | 55392 | 0.5608 | 0.2428 |
| 0.3577 | 49.0 | 56546 | 0.5593 | 0.2412 |
| 0.3456 | 50.0 | 57700 | 0.5583 | 0.2403 |
### 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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