fast-food-pure-v0 / eval.log
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Added entity model checkpoint
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['/home/yogeshchandrasekharuni/anaconda3/envs/food-ordering-pure-v2/lib/python3.6/site-packages/ipykernel_launcher.py', '--ip=127.0.0.1', '--stdin=9050', '--control=9048', '--hb=9047', '--Session.signature_scheme="hmac-sha256"', '--Session.key=b"dfb5f41f-046a-4282-9de9-a25931b0c4bd"', '--shell=9049', '--transport="tcp"', '--iopub=9051', '--f=/home/yogeshchandrasekharuni/.local/share/jupyter/runtime/kernel-v2-3007BVHxnQTItdld.json']
<__main__.EntityArgs object at 0x7efcc5270b70>
Moving to CUDA...
# GPUs = 1
# Overlap: 0
Extracted 1 samples from 1 documents, with 0 NER labels, 17.000 avg input length, 17 max length
Max Length: 17, max NER: 0
Loading BERT model from ./custom_data_out/
Moving to CUDA...
# GPUs = 1
# Overlap: 0
Extracted 1 samples from 1 documents, with 0 NER labels, 17.000 avg input length, 17 max length
Max Length: 17, max NER: 0
Total pred entities: 5
Output predictions to ./custom_data_out/ent_pred_dev.json..