Comments (1)
creating reference xml file : [output/webnlg_version_2/valid/ref_100_0.xml]
Epoch 0/0 ╸━━━━━━━━━━━━━━━━━━━━━ 5460/191666 2:13:42 • 3 days, 0.61it/s loss: 4.29 v_num: on_2
12:19:45
creating hypothesis xml file : [output/webnlg_version_2/valid/hyp_100_0.xml]
Epoch 0/0 ╸━━━━━━━━━━━━━━━━━━━━━ 5460/191666 2:13:42 • 3 days, 0.61it/s loss: 4.29 v_num: on_2
12:19:45
/usr/local/lib/python3.10/dist-packages/bs4/builder/init.py:545: XMLParsedAsHTMLWarning: It
looks like you're parsing an XML document using an HTML parser. If this really is an HTML document
(maybe it's XHTML?), you can ignore or filter this warning. If it's XML, you should know that using
an XML parser will be more reliable. To parse this document as XML, make sure you have the lxml
package installed, and pass the keyword argument features="xml"
into the BeautifulSoup
constructor.
warnings.warn(
Epoch 0/0 ╸━━━━━━━━━━━━━━━━━━━━━ 5460/191666 2:13:42 • 3 days, 0.61it/s loss: 4.29 v_num: on_2
12:19:45
Epoch 0/0 ╸━━━━━━━━━━━━━━━━━━━━━ 5460/191666 2:13:46 • 3 days, 0.61it/s loss: 4.29 v_num: on_2
12:19:45 train_gen.sh: line 29: 5466 Killed python main.py --version 2 --default_root_dir output --run train --max_epochs 1 --accelerator gpu --num_nodes 1 --num_data_workers 2 --lr 1e-4 --batch_size 1 --num_sanity_val_steps 0 --fast_dev_run 0 --overfit_batches 0 --limit_train_batches 1.0 --limit_val_batches 1.0 --limit_test_batches 1.0 --accumulate_grad_batches 10 --detect_anomaly True --data_path webnlg-dataset/release_v3.0/en --log_every_n_steps 100 --val_check_interval 1000 --checkpoint_step_frequency 1000 --focal_loss_gamma 3 --dropout_rate 0.5 --num_layers 2 --edges_as_classes 0 --checkpoint_model_id -1
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Related Issues (20)
- Encoding in dataset.py:61 json.load() HOT 1
- A problem I ran into when I ran the code HOT 1
- Add documentation on how to use a model after it is trained. HOT 2
- Unable to display the output. HOT 5
- I wonder that how query nodes is implemented in code? HOT 2
- query node HOT 20
- Dataset preprocessing HOT 1
- bug(edge feature generation batch collation)
- bug(loss not ignoring padding token in sequence) HOT 5
- Last checkpoint Error HOT 3
- TEKGEN implementation
- Segment fault: core dumped HOT 1
- xml.etree.ElementTree.ParseError HOT 1
- requirements.txt
- Important Bug To Solve!!
- ModuleNotFoundError: No module named 'corpusreader' HOT 1
- Code running issues
- frame #4: <unknown function> + 0xdbbf4 (0x7eff47d5ebf4 in /home/shraban/anaconda3/envs/rajnish/bin/../lib/libstdc++.so.6) frame #5: <unknown function> + 0x8609 (0x7eff493c1609 in /lib/x86_64-linux-gnu/libpthread.so.0) frame #6: clone + 0x43 (0x7eff4918c353 in /lib/x86_64-linux-gnu/libc.so.6) Error during training: process 0 terminated with signal SIGABRT HOT 6
- IndexError: piece id is out of range
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