About the performance

[summer1030]

I cannot get good performance on msr-vtt dataset. So i want to know the Bleu_4 you got on this dataset (vgg16 features without c3d features). I have tried different learning rate, dim_hidden, optimizer.... however, not i only get 31.13% . Thank you .

[GauravKrRoy]

Hi @summer1030 I got ValueError: not enough values to unpack (expected 3, got 2) while running train.py. Details are:

Traceback (most recent call last): File "train.py", line 133, in main(opt) File "train.py", line 120, in main train(dataloader, model, crit, optimizer, exp_lr_scheduler, opt, rl_crit) File "train.py", line 40, in train seqprobs, = model(fc_feats, labels, 'train') File "/home/pg2018/cse/18071003/.conda/envs/env_name/lib/python3.7/site-packages/torch/nn/modules/module.py", line 493, in call result = self.forward(*input, **kwargs) File "/home/pg2018/cse/18071003/video-captioning/models/S2VTModel.py", line 34, in forward batch_size, nframes, = vid_feats.shape ValueError: not enough values to unpack (expected 3, got 2) (env_name) [18071003@master video-captioning]$ ValueError: n

[piperino11]

Msr vtt dataset have 10000 videos and 20 captions for each video but in this implementation only a video-caption pair for each example in train phase is considered. Therefore in total <= 10000 example for train. someone has seen the same thing???? has anyone changed the code?

[Sciroccogti]

Our result is even worse...Bleu_4 is only 18%.

[150104010139]

Hi @summer1030 I got ValueError:

Traceback (most recent call last): File "prepro_vocab.py", line 85, in main(params) File "prepro_vocab.py", line 43, in main videos = json.load(open(params['input_json'], 'r'))['sentences'] File "/home/usr2/anaconda2/envs/wcx/lib/python3.6/json/init.py", line 299, in load parse_constant=parse_constant, object_pairs_hook=object_pairs_hook, **kw) File "/home/usr2/anaconda2/envs/wcx/lib/python3.6/json/init.py", line 354, in loads return _default_decoder.decode(s) File "/home/usr2/anaconda2/envs/wcx/lib/python3.6/json/decoder.py", line 339, in decode obj, end = self.raw_decode(s, idx=_w(s, 0).end()) File "/home/usr2/anaconda2/envs/wcx/lib/python3.6/json/decoder.py", line 355, in raw_decode obj, end = self.scan_once(s, idx) json.decoder.JSONDecodeError: Expecting ',' delimiter: line 11 column 20 (char 296)

[baiyunfan123]

when i run:python train.py --gpu 0 --epochs 3001 --batch_size 300 --checkpoint_path data/save --feats_dir data/feats/resnet152 --model S2VTAttModel --dim_vid 4096 it will error： RuntimeError： size mismatch， m1： [12000 x 2048]， m2： [4096 x 512] at C：/w/1/s/tmp_conda_3.7_055457/conda/conda-bld/pytorch_1565416617654/work/atenc\THC/generic/THCTensorMathBlas.cu： 273
How do you solve this problem?