license: apache-2.0
tags:
- 训练生成
metrics:
- 准确率
model-index:
- name: wav2vec2-base-intent-classification-ori
results: []
wav2vec2-base-intent-classification-ori
该模型是基于facebook/wav2vec2-base在intent-dataset数据集上微调的版本。在评估集上取得了以下结果：
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
训练过程中使用了以下超参数：
- 学习率：3e-05
- 训练批次大小：1
- 评估批次大小：1
- 随机种子：42
- 梯度累积步数：4
- 总训练批次大小：4
- 优化器：Adam（β1=0.9，β2=0.999，ε=1e-08）
- 学习率调度器类型：线性
- 学习率预热比例：0.1
- 训练轮次：45
训练结果
| 训练损失 |
轮次 |
步数 |
验证损失 |
准确率 |
| 2.1867 |
1.0 |
28 |
2.1745 |
27.08% |
| 2.1177 |
2.0 |
56 |
2.1165 |
27.08% |
| 2.1012 |
3.0 |
84 |
2.0553 |
27.08% |
| 1.9851 |
4.0 |
112 |
1.9551 |
37.5% |
| 1.9092 |
5.0 |
140 |
1.9765 |
29.17% |
| 1.6848 |
6.0 |
168 |
1.8461 |
29.17% |
| 1.6576 |
7.0 |
196 |
1.5223 |
50% |
| 1.4492 |
8.0 |
224 |
1.4500 |
47.92% |
| 1.2193 |
9.0 |
252 |
1.5349 |
47.92% |
| 1.1149 |
10.0 |
280 |
1.2159 |
58.33% |
| 1.0615 |
11.0 |
308 |
1.1469 |
68.75% |
| 1.0584 |
12.0 |
336 |
1.2778 |
60.42% |
| 0.8237 |
13.0 |
364 |
1.1774 |
56.25% |
| 0.6699 |
14.0 |
392 |
0.9661 |
68.75% |
| 0.7414 |
15.0 |
420 |
1.2787 |
52.08% |
| 0.5324 |
16.0 |
448 |
0.8592 |
72.92% |
| 0.3753 |
17.0 |
476 |
0.6860 |
79.17% |
| 0.3274 |
18.0 |
504 |
0.6210 |
83.33% |
| 0.3667 |
19.0 |
532 |
0.7310 |
75% |
| 0.2347 |
20.0 |
560 |
0.6801 |
72.92% |
| 0.2036 |
21.0 |
588 |
0.9876 |
68.75% |
| 0.1711 |
22.0 |
616 |
0.6323 |
79.17% |
| 0.205 |
23.0 |
644 |
0.4414 |
89.58% |
| 0.0892 |
24.0 |
672 |
0.4253 |
89.58% |
| 0.0777 |
25.0 |
700 |
0.4703 |
89.58% |
| 0.0717 |
26.0 |
728 |
0.4883 |
89.58% |
| 0.041 |
27.0 |
756 |
0.6224 |
85.42% |
| 0.0493 |
28.0 |
784 |
0.5839 |
87.5% |
| 0.0405 |
29.0 |
812 |
0.6454 |
85.42% |
| 0.04 |
30.0 |
840 |
0.6102 |
87.5% |
| 0.0333 |
31.0 |
868 |
0.6080 |
87.5% |
| 0.0303 |
32.0 |
896 |
0.5539 |
87.5% |
| 0.025 |
33.0 |
924 |
0.5799 |
89.58% |
| 0.0246 |
34.0 |
952 |
0.5766 |
89.58% |
| 0.0209 |
35.0 |
980 |
0.5700 |
89.58% |
| 0.0225 |
36.0 |
1008 |
0.5709 |
89.58% |
| 0.0225 |
37.0 |
1036 |
0.5582 |
89.58% |
| 0.0217 |
38.0 |
1064 |
0.5258 |
87.5% |
| 0.0207 |
39.0 |
1092 |
0.5058 |
89.58% |
| 0.0234 |
40.0 |
1120 |
0.4981 |
89.58% |
| 0.021 |
41.0 |
1148 |
0.4928 |
91.67% |
| 0.0224 |
42.0 |
1176 |
0.4962 |
91.67% |
| 0.0212 |
43.0 |
1204 |
0.5329 |
89.58% |
| 0.0208 |
44.0 |
1232 |
0.5727 |
89.58% |
| 0.0206 |
45.0 |
1260 |
0.5733 |
89.58% |
框架版本
- Transformers 4.20.1
- Pytorch 1.11.0
- Datasets 2.1.0
- Tokenizers 0.12.1
PyTorch
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