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Fix training baseline models #1

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2 changes: 1 addition & 1 deletion CollaborativeBuilding/builder/config.json
Original file line number Diff line number Diff line change
Expand Up @@ -2,7 +2,7 @@
"seed": 0,
"train_config": {
"batch_size": 50,
"num_epochs": 50,
"num_epochs": 20,
"warm_up_steps": 1,
"warm_up_factor": 0.1,
"beta1": 0.9,
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2 changes: 0 additions & 2 deletions CollaborativeBuilding/builder/model.py
Original file line number Diff line number Diff line change
Expand Up @@ -4,7 +4,6 @@
import torch.nn.functional as F
from torch.nn.utils.rnn import pack_padded_sequence, pad_packed_sequence
from builder.dataloader_with_glove import BuilderDataset, RawInputs
import pdb
sys.path.append('..')
from utils import *

Expand All @@ -27,7 +26,6 @@ def __init__(self, config, vocabulary):

def forward(self, encoder_inputs, grid_repr_inputs, action_repr_inputs, label, location_mask=None, raw_input=None, dataset=None):
dialogue_repr = self.encoder(encoder_inputs)
pdb.set_trace()
loss, acc, predicted_seq = self.decoder(dialogue_repr, grid_repr_inputs, action_repr_inputs, label, location_mask, raw_input, dataset)
return loss, acc, predicted_seq

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6 changes: 3 additions & 3 deletions CollaborativeBuilding/train.py
Original file line number Diff line number Diff line change
Expand Up @@ -114,6 +114,7 @@ def main(args, config):
json.dump(config, f)

optimizer = optim.Adam(model.parameters(), lr=train_config["lr"], betas=(train_config["beta1"], train_config["beta2"]))
max_f1 = 0

for epoch in range(train_config['num_epochs']):
print("Training...")
Expand Down Expand Up @@ -150,16 +151,15 @@ def main(args, config):
total_actions += len(labels)

train_loss = train_loss / len(train_items)

print('Train | Loss: {}'.format(train_loss))
print('Train | Location Acc: {}, Action Type Acc: {}, Color Acc: {}'.format(total_location_correct/total_location, total_action_type_correct/total_actions, total_color_correct/total_color))
f_output.write('Epoch {}\n'.format(epoch))
f_output.write('Epoch {}\n'.format(epoch))
f_output.write('Train | Loss: {}\n'.format(train_loss))
f_output.write('Train | Location Acc: {}, Action Type Acc: {}, Color Acc: {}\n'.format(total_location_correct/total_actions, total_action_type_correct/total_actions, total_color_correct/total_color))

model.eval()
valid_loss = 0
max_f1 = 0
valid_pred_seqs = []
valid_raw_inputs = []

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3 changes: 3 additions & 0 deletions CollaborativeBuilding/train_collab.sh
Original file line number Diff line number Diff line change
@@ -0,0 +1,3 @@
#!/bin/bash

python3 train.py --json_data_dir builder_data_with_glove --saved_models_path saved_models_$1 --seed $1