许可证：apache-2.0
标签：
- 自动语音识别
- gary109/AI_Light_Dance
- 训练生成
模型索引：
- 名称：ai-light-dance_singing2_ft_wav2vec2-large-xlsr-53-v1
- 结果：[]
ai-light-dance_singing2_ft_wav2vec2-large-xlsr-53-v1
该模型是基于gary109/ai-light-dance_singing2_ft_wav2vec2-large-xlsr-53在GARY109/AI_LIGHT_DANCE - ONSET-SINGING2数据集上微调的版本。在评估集上达到以下效果：
- 损失：0.5760
- 词错误率(Wer)：0.2905
模型描述
需补充更多信息
预期用途与限制
需补充更多信息
训练与评估数据
需补充更多信息
训练流程
训练超参数
训练期间使用的超参数如下：
- 学习率：4e-05
- 训练批次大小：10
- 评估批次大小：10
- 随机种子：42
- 梯度累积步数：16
- 总训练批次大小：160
- 优化器：Adam（beta1=0.9，beta2=0.999，epsilon=1e-08）
- 学习率调度器类型：线性
- 学习率预热步数：100
- 训练轮次：40.0
- 混合精度训练：原生AMP
训练结果
| 训练损失 |
轮次 |
步数 |
验证损失 |
词错误率 |
| 1.656 |
1.0 |
112 |
1.7625 |
0.9265 |
| 1.3693 |
2.0 |
224 |
1.5135 |
0.9243 |
| 1.2172 |
3.0 |
336 |
1.2657 |
0.8533 |
| 1.0456 |
4.0 |
448 |
1.0893 |
0.7691 |
| 0.9385 |
5.0 |
560 |
1.0110 |
0.7097 |
| 0.8165 |
6.0 |
672 |
0.9243 |
0.6682 |
| 0.7491 |
7.0 |
784 |
0.8948 |
0.6583 |
| 0.6772 |
8.0 |
896 |
0.7894 |
0.6007 |
| 0.6096 |
9.0 |
1008 |
0.7684 |
0.5663 |
| 0.5714 |
10.0 |
1120 |
0.6978 |
0.4826 |
| 0.5213 |
11.0 |
1232 |
0.8433 |
0.4927 |
| 0.4624 |
12.0 |
1344 |
0.6695 |
0.4469 |
| 0.4298 |
13.0 |
1456 |
0.6569 |
0.3868 |
| 0.3939 |
14.0 |
1568 |
0.6633 |
0.3694 |
| 0.3803 |
15.0 |
1680 |
0.6376 |
0.3920 |
| 0.3415 |
16.0 |
1792 |
0.6463 |
0.3414 |
| 0.3239 |
17.0 |
1904 |
0.5841 |
0.3197 |
| 0.2946 |
18.0 |
2016 |
0.5948 |
0.3112 |
| 0.2751 |
19.0 |
2128 |
0.5760 |
0.2905 |
| 0.2834 |
20.0 |
2240 |
0.5884 |
0.2975 |
| 0.2383 |
21.0 |
2352 |
0.5989 |
0.2775 |
| 0.2265 |
22.0 |
2464 |
0.6151 |
0.2853 |
| 0.2158 |
23.0 |
2576 |
0.5843 |
0.2670 |
| 0.2015 |
24.0 |
2688 |
0.6621 |
0.2738 |
| 0.215 |
25.0 |
2800 |
0.6068 |
0.2652 |
| 0.1859 |
26.0 |
2912 |
0.6136 |
0.2570 |
| 0.1745 |
27.0 |
3024 |
0.6191 |
0.2624 |
| 0.1611 |
28.0 |
3136 |
0.6364 |
0.2578 |
| 0.1513 |
29.0 |
3248 |
0.6402 |
0.2535 |
| 0.172 |
30.0 |
3360 |
0.6330 |
0.2500 |
| 0.1488 |
31.0 |
3472 |
0.6275 |
0.2521 |
| 0.1371 |
32.0 |
3584 |
0.6539 |
0.2540 |
| 0.1356 |
33.0 |
3696 |
0.6544 |
0.2491 |
| 0.1319 |
34.0 |
3808 |
0.6545 |
0.2491 |
| 0.1465 |
35.0 |
3920 |
0.6573 |
0.2495 |
| 0.13 |
36.0 |
4032 |
0.6594 |
0.2494 |
| 0.1244 |
37.0 |
4144 |
0.6651 |
0.2476 |
| 0.1228 |
38.0 |
4256 |
0.6754 |
0.2497 |
| 0.1181 |
39.0 |
4368 |
0.6684 |
0.2468 |
| 0.1338 |
40.0 |
4480 |
0.6713 |
0.2471 |
框架版本
- Transformers 4.21.0.dev0
- PyTorch 1.9.1+cu102
- Datasets 2.3.3.dev0
- Tokenizers 0.12.1
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