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update doc for mlclas (#2564)

changdazhou hai 11 meses
pai
achega
0f82904802
Modificáronse 2 ficheiros con 3 adicións e 3 borrados
  1. 1 1
      docs/support_list/model_list_npu.md
  2. 2 2
      docs/support_list/models_list.md

+ 1 - 1
docs/support_list/model_list_npu.md

@@ -386,7 +386,7 @@ PaddleX 内置了多条产线,每条产线都包含了若干模块,每个模
 <td><a href="https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0b2/PP-HGNetV2-B4_ML_infer.tar">推理模型</a>/<a href="https://paddle-model-ecology.bj.bcebos.com/paddlex/official_pretrained_model/PP-HGNetV2-B4_ML_pretrained.pdparams">训练模型</a></td></tr>
 <tr>
 <td>PP-HGNetV2-B6_ML</td>
-<td>91.25</td>
+<td>91.06</td>
 <td>286.5 M</td>
 <td><a href="https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0b2/PP-HGNetV2-B6_ML_infer.tar">推理模型</a>/<a href="https://paddle-model-ecology.bj.bcebos.com/paddlex/official_pretrained_model/PP-HGNetV2-B6_ML_pretrained.pdparams">训练模型</a></td></tr>
 <td><a href="https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0b2/PP-HGNetV2-B0_ML_infer.tar">推理模型</a>/<a href="https://paddle-model-ecology.bj.bcebos.com/paddlex/official_pretrained_model/PP-HGNetV2-B0_ML_pretrained.pdparams">训练模型</a></td></tr></tbody>

+ 2 - 2
docs/support_list/models_list.md

@@ -702,7 +702,7 @@ PaddleX 内置了多条产线,每条产线都包含了若干模块,每个模
 <td><a href="https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0b2/PP-HGNetV2-B4_ML_infer.tar">推理模型</a>/<a href="https://paddle-model-ecology.bj.bcebos.com/paddlex/official_pretrained_model/PP-HGNetV2-B4_ML_pretrained.pdparams">训练模型</a></td></tr>
 <tr>
 <td>PP-HGNetV2-B6_ML</td>
-<td>91.25</td>
+<td>91.06</td>
 <td>-</td>
 <td>-</td>
 <td>286.5 M</td>
@@ -718,7 +718,7 @@ PaddleX 内置了多条产线,每条产线都包含了若干模块,每个模
 <td><a href="https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0b2/PP-LCNet_x1_0_ML_infer.tar">推理模型</a>/<a href="https://paddle-model-ecology.bj.bcebos.com/paddlex/official_pretrained_model/PP-LCNet_x1_0_ML_pretrained.pdparams">训练模型</a></td></tr>
 <tr>
 <td>ResNet50_ML</td>
-<td>83.50</td>
+<td>83.42</td>
 <td>-</td>
 <td>-</td>
 <td>108.9 M</td>