库名称：transformers
许可证：其他
基础模型：facebook/mask2former-swin-base-IN21k-ade-semantic
标签：
模型索引：
- 名称：mask2former-finetuned-ER-Mito-LD5
结果：[]
mask2former-finetuned-ER-Mito-LD5
此模型是基于facebook/mask2former-swin-base-IN21k-ade-semantic在Dnq2025/Mask2former_Pretrain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
需要更多信息
预期用途与限制
需要更多信息
训练与评估数据
需要更多信息
训练过程
训练超参数
训练过程中使用了以下超参数：
- 学习率：0.0004
- 训练批次大小：4
- 评估批次大小：4
- 随机种子：1337
- 优化器：使用OptimizerNames.ADAMW_TORCH，betas=(0.9,0.999)，epsilon=1e-08，无额外优化器参数
- 学习率调度器类型：多项式
- 训练步数：6450
训练结果
| 训练损失 |
周期 |
步数 |
验证损失 |
| 53.498 |
1.0 |
129 |
39.6802 |
| 39.3157 |
2.0 |
258 |
35.9394 |
| 37.2096 |
3.0 |
387 |
32.0225 |
| 31.9877 |
4.0 |
516 |
33.2635 |
| 30.1511 |
5.0 |
645 |
29.8756 |
| 28.3667 |
6.0 |
774 |
30.3257 |
| 26.7492 |
7.0 |
903 |
27.9416 |
| 25.6035 |
8.0 |
1032 |
27.4391 |
| 24.5091 |
9.0 |
1161 |
28.4225 |
| 23.8578 |
10.0 |
1290 |
26.4271 |
| 22.6785 |
11.0 |
1419 |
26.4148 |
| 22.0847 |
12.0 |
1548 |
26.6679 |
| 22.0106 |
13.0 |
1677 |
26.7030 |
| 20.45 |
14.0 |
1806 |
26.1600 |
| 20.1949 |
15.0 |
1935 |
26.2444 |
| 19.1922 |
16.0 |
2064 |
27.0105 |
| 18.9458 |
17.0 |
2193 |
24.9449 |
| 18.46 |
18.0 |
2322 |
27.8372 |
| 17.3966 |
19.0 |
2451 |
27.0517 |
| 17.5908 |
20.0 |
2580 |
28.5696 |
| 16.9413 |
21.0 |
2709 |
27.3707 |
| 16.3963 |
22.0 |
2838 |
26.4041 |
| 16.2948 |
23.0 |
2967 |
25.3316 |
| 16.2511 |
24.0 |
3096 |
27.9766 |
| 15.4496 |
25.0 |
3225 |
27.6993 |
| 15.1992 |
26.0 |
3354 |
27.9919 |
| 14.9445 |
27.0 |
3483 |
25.4937 |
| 14.8226 |
28.0 |
3612 |
28.7659 |
| 14.264 |
29.0 |
3741 |
26.7018 |
| 14.348 |
30.0 |
3870 |
28.9018 |
| 13.936 |
31.0 |
3999 |
28.2813 |
| 13.7577 |
32.0 |
4128 |
30.0501 |
| 13.1629 |
33.0 |
4257 |
28.0087 |
| 14.1035 |
34.0 |
4386 |
28.3435 |
| 13.4379 |
35.0 |
4515 |
28.9629 |
| 12.9478 |
36.0 |
4644 |
29.8509 |
| 12.8114 |
37.0 |
4773 |
28.9036 |
| 13.2322 |
38.0 |
4902 |
29.9045 |
| 12.7433 |
39.0 |
5031 |
31.3430 |
| 12.3428 |
40.0 |
5160 |
31.3746 |
| 12.3295 |
41.0 |
5289 |
31.6009 |
| 12.1459 |
42.0 |
5418 |
31.6387 |
| 11.8999 |
43.0 |
5547 |
32.2195 |
| 12.4076 |
44.0 |
5676 |
32.5034 |
| 11.7797 |
45.0 |
5805 |
32.9062 |
| 11.1345 |
46.0 |
5934 |
32.4447 |
| 12.3552 |
47.0 |
6063 |
32.7274 |
| 11.3111 |
48.0 |
6192 |
33.0397 |
| 11.8742 |
49.0 |
6321 |
33.3195 |
| 11.5268 |
50.0 |
6450 |
33.3223 |
框架版本
- Transformers 4.50.0.dev0
- Pytorch 2.4.1
- Datasets 3.3.2
- Tokenizers 0.21.0
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