🚀 Output_LayoutLMv3_v7
該模型是 microsoft/layoutlmv3-base 在未知數據集上的微調版本。它在評估集上取得了以下成績：
- 損失值：0.1075
- 精確率：0.7928
- 召回率：0.8
- F1值：0.7964
- 準確率：0.9723
📚 詳細文檔
模型信息
| 屬性 |
詳情 |
| 模型名稱 |
Output_LayoutLMv3_v7 |
| 模型類型 |
microsoft/layoutlmv3-base 的微調版本 |
| 數據集 |
Noureddinesa/LayoutLmv3_v1 |
| 許可證 |
cc-by-nc-sa-4.0 |
| 指標 |
精確率、召回率、F1值、準確率 |
訓練過程
訓練超參數
訓練期間使用了以下超參數：
- 學習率：1e-06
- 訓練批次大小：12
- 評估批次大小：12
- 隨機種子：42
- 優化器：Adam（β1=0.9，β2=0.999，ε=1e-08）
- 學習率調度器類型：餘弦退火
- 訓練步數：2600
訓練結果
| 訓練損失 |
輪數 |
步數 |
驗證損失 |
精確率 |
召回率 |
F1值 |
準確率 |
| 無記錄 |
9.09 |
100 |
0.4138 |
0.0 |
0.0 |
0.0 |
0.8962 |
| 無記錄 |
18.18 |
200 |
0.2709 |
0.1667 |
0.0273 |
0.0469 |
0.9014 |
| 無記錄 |
27.27 |
300 |
0.2003 |
0.6234 |
0.4364 |
0.5134 |
0.9360 |
| 無記錄 |
36.36 |
400 |
0.1711 |
0.6496 |
0.6909 |
0.6696 |
0.9481 |
| 0.3384 |
45.45 |
500 |
0.1624 |
0.6667 |
0.7273 |
0.6957 |
0.9498 |
| 0.3384 |
54.55 |
600 |
0.1502 |
0.6803 |
0.7545 |
0.7155 |
0.9550 |
| 0.3384 |
63.64 |
700 |
0.1428 |
0.7227 |
0.7818 |
0.7511 |
0.9602 |
| 0.3384 |
72.73 |
800 |
0.1452 |
0.7049 |
0.7818 |
0.7414 |
0.9550 |
| 0.3384 |
81.82 |
900 |
0.1260 |
0.7544 |
0.7818 |
0.7679 |
0.9671 |
| 0.0995 |
90.91 |
1000 |
0.1254 |
0.7544 |
0.7818 |
0.7679 |
0.9671 |
| 0.0995 |
100.0 |
1100 |
0.1211 |
0.7863 |
0.8364 |
0.8106 |
0.9706 |
| 0.0995 |
109.09 |
1200 |
0.1093 |
0.7739 |
0.8091 |
0.7911 |
0.9706 |
| 0.0995 |
118.18 |
1300 |
0.1081 |
0.7946 |
0.8091 |
0.8018 |
0.9723 |
| 0.0995 |
127.27 |
1400 |
0.1108 |
0.7778 |
0.8273 |
0.8018 |
0.9723 |
| 0.0608 |
136.36 |
1500 |
0.1115 |
0.7627 |
0.8182 |
0.7895 |
0.9706 |
| 0.0608 |
145.45 |
1600 |
0.1034 |
0.8053 |
0.8273 |
0.8161 |
0.9740 |
| 0.0608 |
154.55 |
1700 |
0.1050 |
0.7895 |
0.8182 |
0.8036 |
0.9723 |
| 0.0608 |
163.64 |
1800 |
0.1093 |
0.7739 |
0.8091 |
0.7911 |
0.9706 |
| 0.0608 |
172.73 |
1900 |
0.1043 |
0.7965 |
0.8182 |
0.8072 |
0.9723 |
| 0.0443 |
181.82 |
2000 |
0.1048 |
0.8036 |
0.8182 |
0.8108 |
0.9758 |
| 0.0443 |
190.91 |
2100 |
0.1067 |
0.8036 |
0.8182 |
0.8108 |
0.9758 |
| 0.0443 |
200.0 |
2200 |
0.1069 |
0.8036 |
0.8182 |
0.8108 |
0.9740 |
| 0.0443 |
209.09 |
2300 |
0.1083 |
0.7928 |
0.8 |
0.7964 |
0.9723 |
| 0.0443 |
218.18 |
2400 |
0.1079 |
0.7928 |
0.8 |
0.7964 |
0.9723 |
| 0.0381 |
227.27 |
2500 |
0.1076 |
0.7928 |
0.8 |
0.7964 |
0.9723 |
| 0.0381 |
236.36 |
2600 |
0.1075 |
0.7928 |
0.8 |
0.7964 |
0.9723 |
框架版本
- Transformers：4.29.2
- Pytorch：2.2.2+cu121
- Datasets：2.18.0
- Tokenizers：0.13.3
📄 許可證
本模型使用 cc-by-nc-sa-4.0 許可證。
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