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2022_12_11_log.txt
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2022_12_11_log.txt
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nohup: ignoring input
[2022-12-13 11:11:49 +0800] [783039] [INFO] Starting gunicorn 20.1.0
[2022-12-13 11:11:49 +0800] [783039] [INFO] Listening at: http://0.0.0.0:8001 (783039)
[2022-12-13 11:11:49 +0800] [783039] [INFO] Using worker: gthread
[2022-12-13 11:11:49 +0800] [783041] [INFO] Booting worker with pid: 783041
[2022-12-13 11:11:49 +0800] [783042] [INFO] Booting worker with pid: 783042
Some weights of the model checkpoint at ./art/art_assessment_model/bert-base-uncased were not used when initializing BertModel: ['cls.seq_relationship.bias', 'cls.predictions.decoder.weight', 'cls.seq_relationship.weight', 'cls.predictions.transform.LayerNorm.bias', 'cls.predictions.bias', 'cls.predictions.transform.dense.bias', 'cls.predictions.transform.dense.weight', 'cls.predictions.transform.LayerNorm.weight']
- This IS expected if you are initializing BertModel from the checkpoint of a model trained on another task or with another architecture (e.g. initializing a BertForSequenceClassification model from a BertForPreTraining model).
- This IS NOT expected if you are initializing BertModel from the checkpoint of a model that you expect to be exactly identical (initializing a BertForSequenceClassification model from a BertForSequenceClassification model).
Some weights of the model checkpoint at ./art/art_assessment_model/bert-base-uncased were not used when initializing BertModel: ['cls.seq_relationship.bias', 'cls.predictions.decoder.weight', 'cls.seq_relationship.weight', 'cls.predictions.transform.LayerNorm.bias', 'cls.predictions.bias', 'cls.predictions.transform.dense.bias', 'cls.predictions.transform.dense.weight', 'cls.predictions.transform.LayerNorm.weight']
- This IS expected if you are initializing BertModel from the checkpoint of a model trained on another task or with another architecture (e.g. initializing a BertForSequenceClassification model from a BertForPreTraining model).
- This IS NOT expected if you are initializing BertModel from the checkpoint of a model that you expect to be exactly identical (initializing a BertForSequenceClassification model from a BertForSequenceClassification model).
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