You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
I am interested in evaluating performance on the OntoNotes dataset using the provided trained BERT-base model (I am not training from scratch). In order to evaluate performance, I need to first run ./setup_training.sh <ontonotes/path/ontonotes-release-5.0> $data_dir. However, I am unsure how to specify <ontonotes/path/ontonotes-release-5.0> and data_dir. What is the difference between the two? I have set data_dir to be '.' and the <ontonotes/path/ontonotes-release-5.0> path to be the full path to where I have stored onotonotes-release-5.0, but I am not sure if this is correct (I also tried making data_dir the path to the directory where ontonotes-release-5.0 is stored and <ontonotes/path/ontonotes-release-5.0> to be 'ontonotes-release-5.0', but that didn't help)? Could someone provide an example of how to correctly specify these paths?
I tried running GPU=0 python evaluate.py 'bert_base' and find that it evaluates on 0 examples. I assume that is because there is an issue with the data paths. Would appreciate any help in getting evaluate to work!
Update: I saw that minimize_partition() in minimize.py currently writes 0 documents, which makes sense that we are evaluating on 0 examples. Not sure if this is a data path-related issue as I discussed above, or something else altogether.
The text was updated successfully, but these errors were encountered:
I am interested in evaluating performance on the OntoNotes dataset using the provided trained BERT-base model (I am not training from scratch). In order to evaluate performance, I need to first run ./setup_training.sh <ontonotes/path/ontonotes-release-5.0> $data_dir. However, I am unsure how to specify <ontonotes/path/ontonotes-release-5.0> and data_dir. What is the difference between the two? I have set data_dir to be '.' and the <ontonotes/path/ontonotes-release-5.0> path to be the full path to where I have stored onotonotes-release-5.0, but I am not sure if this is correct (I also tried making data_dir the path to the directory where ontonotes-release-5.0 is stored and <ontonotes/path/ontonotes-release-5.0> to be 'ontonotes-release-5.0', but that didn't help)? Could someone provide an example of how to correctly specify these paths?
I tried running GPU=0 python evaluate.py 'bert_base' and find that it evaluates on 0 examples. I assume that is because there is an issue with the data paths. Would appreciate any help in getting evaluate to work!
Update: I saw that minimize_partition() in minimize.py currently writes 0 documents, which makes sense that we are evaluating on 0 examples. Not sure if this is a data path-related issue as I discussed above, or something else altogether.
Hi there, can I ask how did you manage to produce the temp files? @preethiseshadri518
I am interested in evaluating performance on the OntoNotes dataset using the provided trained BERT-base model (I am not training from scratch). In order to evaluate performance, I need to first run
./setup_training.sh <ontonotes/path/ontonotes-release-5.0> $data_dir
. However, I am unsure how to specify<ontonotes/path/ontonotes-release-5.0>
anddata_dir
. What is the difference between the two? I have set data_dir to be '.' and the <ontonotes/path/ontonotes-release-5.0> path to be the full path to where I have stored onotonotes-release-5.0, but I am not sure if this is correct (I also tried making data_dir the path to the directory where ontonotes-release-5.0 is stored and <ontonotes/path/ontonotes-release-5.0> to be 'ontonotes-release-5.0', but that didn't help)? Could someone provide an example of how to correctly specify these paths?I tried running
GPU=0 python evaluate.py 'bert_base'
and find that it evaluates on 0 examples. I assume that is because there is an issue with the data paths. Would appreciate any help in getting evaluate to work!Update: I saw that minimize_partition() in
minimize.py
currently writes 0 documents, which makes sense that we are evaluating on 0 examples. Not sure if this is a data path-related issue as I discussed above, or something else altogether.The text was updated successfully, but these errors were encountered: