add new data

run_interaction.py

@@ -132,10 +132,9 @@ def test(args, model, dataset):
                                           attention_mask=input_mask.cuda())
                 else:
                     pred_affinity = model(input_ids=input, token_type_ids=token_type_ids, attention_mask=input_mask)
-                pred_affinity = pred_affinity.cpu().numpy()
-                for res in range(args.batch_size):
-                    pred = pred_affinity[res, :][0]
-                    f.write(str(pred) + '\n')
+                pred_affinity = pred_affinity.cpu().numpy().squeeze(-1)
+                for res in pred_affinity:
+                    f.write(str(res) + '\n')
 
     if args.do_eval:
         os.system('python eval.py')
@@ -203,8 +202,8 @@ if __name__ == '__main__':
 
 
     # args.task = 'test'
-    # args.init = './model/lr-1e-5-batch-32-e-10-layer3-0417-add-type-ids-and-mask/epoch-9-step-82370-loss-0.8841055645024439.pth'
+    # args.init = './model/lr-1e-5-batch-32-e-10-layer6-0428/epoch-8-step-74133-loss-0.6730387237803921.pth'
     # args.output = './predict/test'
-    # args.config = './config/config_layer_3.json'
+    # args.config = './config/config_layer_6.json'
     main(args)
 

train.sh

-CUDA_VISIBLE_DEVICES=0 python run_interaction.py --b=32 --task=train_z_100 --epochs=10 --lr=1e-5 --savedir=lr-1e-5-batch-32-e-10-layer3-0429-z-100 --config=./config/config_layer_3.json
+CUDA_VISIBLE_DEVICES=2 python run_interaction.py --b=32 --task=train_z_10 --epochs=10 --lr=1e-5 --savedir=lr-1e-5-batch-32-e-10-layer9-0429-z-10 --config=./config/config_layer_9.json