runtime error

Exit code: 1. Reason: 6.16MB/s] tokenizer.json: 0%| | 0.00/466k [00:00<?, ?B/s] tokenizer.json: 100%|██████████| 466k/466k [00:00<00:00, 29.3MB/s] Map: 0%| | 0/120000 [00:00<?, ? examples/s] Map: 8%|▊ | 10000/120000 [00:01<00:11, 9989.74 examples/s] Map: 18%|█▊ | 22000/120000 [00:02<00:08, 10980.87 examples/s] Map: 28%|██▊ | 33000/120000 [00:03<00:08, 10760.75 examples/s] Map: 37%|███▋ | 44000/120000 [00:04<00:07, 10848.15 examples/s] Map: 48%|████▊ | 57000/120000 [00:05<00:05, 10872.28 examples/s] Map: 57%|█████▊ | 69000/120000 [00:06<00:04, 11174.59 examples/s] Map: 68%|██████▊ | 81000/120000 [00:07<00:03, 10981.34 examples/s] Map: 77%|███████▋ | 92000/120000 [00:08<00:02, 10833.70 examples/s] Map: 87%|████████▋ | 104000/120000 [00:09<00:01, 10819.42 examples/s] Map: 98%|█████████▊| 117000/120000 [00:10<00:00, 11208.80 examples/s] Map: 100%|██████████| 120000/120000 [00:11<00:00, 10878.47 examples/s] Map: 0%| | 0/7600 [00:00<?, ? examples/s] Map: 100%|██████████| 7600/7600 [00:00<00:00, 11497.49 examples/s] Dataset({ features: ['label', 'input_ids', 'token_type_ids', 'attention_mask'], num_rows: 115000 }) model.safetensors: 0%| | 0.00/440M [00:00<?, ?B/s] model.safetensors: 100%|██████████| 440M/440M [00:00<00:00, 449MB/s] Some weights of BertForSequenceClassification were not initialized from the model checkpoint at bert-base-uncased and are newly initialized: ['classifier.bias', 'classifier.weight'] You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference. Traceback (most recent call last): File "/app/app.py", line 180, in <module> from sklearn.metrics import accuracy_score, f1_score ModuleNotFoundError: No module named 'sklearn'

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