runtime error

Exit code: 1. Reason: /s] pytorch_model.bin: 7%|▋ | 94.4M/1.26G [00:04<00:45, 25.7MB/s] pytorch_model.bin: 22%|██▏ | 273M/1.26G [00:05<00:14, 68.9MB/s]  pytorch_model.bin: 30%|██▉ | 377M/1.26G [00:07<00:14, 59.2MB/s] pytorch_model.bin: 58%|█████▊ | 728M/1.26G [00:08<00:04, 127MB/s]  pytorch_model.bin: 83%|████████▎ | 1.04G/1.26G [00:09<00:01, 174MB/s] pytorch_model.bin: 100%|█████████▉| 1.26G/1.26G [00:10<00:00, 116MB/s] Some weights of the model checkpoint at superb/hubert-large-superb-er were not used when initializing HubertForSequenceClassification: ['hubert.encoder.pos_conv_embed.conv.weight_g', 'hubert.encoder.pos_conv_embed.conv.weight_v'] - This IS expected if you are initializing HubertForSequenceClassification 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 HubertForSequenceClassification from the checkpoint of a model that you expect to be exactly identical (initializing a BertForSequenceClassification model from a BertForSequenceClassification model). Some weights of HubertForSequenceClassification were not initialized from the model checkpoint at superb/hubert-large-superb-er and are newly initialized: ['hubert.encoder.pos_conv_embed.conv.parametrizations.weight.original1', 'hubert.encoder.pos_conv_embed.conv.parametrizations.weight.original0'] You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference. preprocessor_config.json: 0%| | 0.00/212 [00:00<?, ?B/s] preprocessor_config.json: 100%|██████████| 212/212 [00:00<00:00, 1.34MB/s] Traceback (most recent call last): File "/home/user/app/app.py", line 217, in <module> init_db() File "/home/user/app/app.py", line 173, in init_db conn.execute(''' sqlite3.DatabaseError: file is not a database

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