license: apache-2.0
tags:
- 从训练器生成
metrics:
- 准确率
model-index:
- name: wav2vec2-large-960h-intent-classification-ori
results: []
wav2vec2-large-960h-intent-classification-ori
该模型是基于facebook/wav2vec2-large-960h在None数据集上微调得到的版本。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：2
- 评估批次大小：2
- 随机种子：42
- 梯度累积步数：4
- 总训练批次大小：8
- 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 |
| 2.1937 |
1.0 |
14 |
2.1715 |
0.3333 |
| 2.1764 |
2.0 |
28 |
2.1317 |
0.3333 |
| 2.1358 |
3.0 |
42 |
2.0794 |
0.3333 |
| 2.1227 |
4.0 |
56 |
2.0367 |
0.3333 |
| 2.1157 |
5.0 |
70 |
1.9845 |
0.3333 |
| 2.0776 |
6.0 |
84 |
1.9369 |
0.3333 |
| 2.0126 |
7.0 |
98 |
1.8021 |
0.375 |
| 1.88 |
8.0 |
112 |
1.6825 |
0.4167 |
| 1.8818 |
9.0 |
126 |
1.4638 |
0.5 |
| 1.7044 |
10.0 |
140 |
1.4188 |
0.5208 |
| 1.5442 |
11.0 |
154 |
1.3421 |
0.5625 |
| 1.5045 |
12.0 |
168 |
1.3971 |
0.5 |
| 1.3369 |
13.0 |
182 |
1.1602 |
0.5833 |
| 1.4017 |
14.0 |
196 |
1.3510 |
0.5417 |
| 1.2565 |
15.0 |
210 |
1.0978 |
0.5625 |
| 1.1056 |
16.0 |
224 |
1.0847 |
0.5833 |
| 1.2006 |
17.0 |
238 |
1.0262 |
0.625 |
| 0.9235 |
18.0 |
252 |
0.9532 |
0.7083 |
| 0.9528 |
19.0 |
266 |
1.0212 |
0.6042 |
| 0.8195 |
20.0 |
280 |
0.8442 |
0.7083 |
| 0.7518 |
21.0 |
294 |
0.8379 |
0.6875 |
| 0.6017 |
22.0 |
308 |
0.9422 |
0.7292 |
| 0.7697 |
23.0 |
322 |
0.7353 |
0.75 |
| 0.5367 |
24.0 |
336 |
0.8685 |
0.6875 |
| 0.5655 |
25.0 |
350 |
0.7440 |
0.7708 |
| 0.5116 |
26.0 |
364 |
0.7572 |
0.75 |
| 0.4297 |
27.0 |
378 |
0.7518 |
0.75 |
| 0.4928 |
28.0 |
392 |
0.5988 |
0.7917 |
| 0.4424 |
29.0 |
406 |
0.7240 |
0.75 |
| 0.3313 |
30.0 |
420 |
0.6173 |
0.7708 |
| 0.3854 |
31.0 |
434 |
0.7375 |
0.75 |
| 0.4131 |
32.0 |
448 |
0.7026 |
0.7708 |
| 0.2899 |
33.0 |
462 |
0.6516 |
0.7708 |
| 0.3644 |
34.0 |
476 |
0.6201 |
0.7917 |
| 0.2316 |
35.0 |
490 |
0.6111 |
0.7708 |
| 0.2589 |
36.0 |
504 |
0.5518 |
0.7917 |
| 0.3778 |
37.0 |
518 |
0.5512 |
0.7708 |
| 0.2426 |
38.0 |
532 |
0.5779 |
0.7917 |
| 0.304 |
39.0 |
546 |
0.7771 |
0.75 |
| 0.1833 |
40.0 |
560 |
0.5839 |
0.7708 |
| 0.1649 |
41.0 |
574 |
0.5699 |
0.7708 |
| 0.2529 |
42.0 |
588 |
0.6190 |
0.75 |
| 0.2121 |
43.0 |
602 |
0.5992 |
0.75 |
| 0.2736 |
44.0 |
616 |
0.6011 |
0.7917 |
| 0.2446 |
45.0 |
630 |
0.6013 |
0.7708 |
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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