Update Model/MultimodelNER/VLSP2016/train_umt_2016.py

Model/MultimodelNER/VLSP2016/train_umt_2016.py

@@ -63,7 +63,7 @@ parser.add_argument("--task_name",
 
                     help="The name of the task to train.")
 parser.add_argument("--output_dir",
-                    default='/Model/MultimodelNER/VLSP2016/best_model/',
+                    default='Model/MultimodelNER/VLSP2016/best_model/',
                     type=str,
                     help="The output directory where the model predictions and checkpoints will be written.")
 
@@ -152,9 +152,9 @@ parser.add_argument('--layer_num1', type=int, default=1, help='number of txt2img
 parser.add_argument('--layer_num2', type=int, default=1, help='number of img2txt layer')
 parser.add_argument('--layer_num3', type=int, default=1, help='number of txt2txt layer')
 parser.add_argument('--fine_tune_cnn', action='store_true', help='fine tune pre-trained CNN if True')
-parser.add_argument('--resnet_root', default='/Model/Resnet/', help='path the pre-trained cnn models')
+parser.add_argument('--resnet_root', default='Model/Resnet/', help='path the pre-trained cnn models')
 parser.add_argument('--crop_size', type=int, default=224, help='crop size of image')
-parser.add_argument('--path_image', default='/Model/MultimodelNER/VLSP2016/Image', help='path to images')
+parser.add_argument('--path_image', default='Model/MultimodelNER/VLSP2016/Image', help='path to images')
 # parser.add_argument('--mm_model', default='TomBert', help='model name') #
 parser.add_argument('--server_ip', type=str, default='', help="Can be used for distant debugging.")
 parser.add_argument('--server_port', type=str, default='', help="Can be used for distant debugging.")