The model does not train
polineso opened this issue · 1 comments
When I make Step 3: train I got:
11/19/2020 18:11:54 - INFO - main - device cpu n_gpu 0 distributed training False
0
guid= train-0
text_a= location - 2 , location - 1
text_b= location - 1 - general
label= None
1000
guid= train-1000
text_a= location - 1 has the tube system while south relies on the overground trains , both have good bus routes
text_b= location - 1 - general
label= None
...
7000
guid= test-7000
text_a= and you ' ve got very good shopping area ' s , location - 1 and location - 2
text_b= location - 2 - general
label= None
100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 7516/7516 [00:12<00:00, 617.65it/s]
output_log_file= results/sentihood/NLI_M/log.txt
Epoch: 0%| | 0/6 [00:00<?, ?it/sKilledtion: 0%| | 0/626 [00:00<?, ?it/s]
There is no errors, but the model is not trained.
results/sentihood/NLI_M/log.txt is empty.
File results/sentihood/NLI_M/test_ep_4.txt does not exist.
What is wrong? I don't have GPU, could it be a reason?
Thanks
It's pretty darn slow to train on the base model even with a Tesla GPU so I think your poor CPU is not gonna cut it.