runtime error

Exit code: 1. Reason: -roberta-base.pth: <urlopen error [SSL: UNEXPECTED_EOF_WHILE_READING] EOF occurred in violation of protocol (_ssl.c:1017)> tokenizer_config.json: 0%| | 0.00/48.0 [00:00<?, ?B/s] tokenizer_config.json: 100%|██████████| 48.0/48.0 [00:00<00:00, 318kB/s] config.json: 0%| | 0.00/483 [00:00<?, ?B/s] config.json: 100%|██████████| 483/483 [00:00<00:00, 5.18MB/s] vocab.txt: 0%| | 0.00/232k [00:00<?, ?B/s] vocab.txt: 100%|██████████| 232k/232k [00:00<00:00, 29.8MB/s] tokenizer.json: 0%| | 0.00/466k [00:00<?, ?B/s] tokenizer.json: 100%|██████████| 466k/466k [00:00<00:00, 53.6MB/s] model.safetensors: 0%| | 0.00/268M [00:00<?, ?B/s] model.safetensors: 75%|███████▍ | 201M/268M [00:01<00:00, 194MB/s] model.safetensors: 100%|██████████| 268M/268M [00:01<00:00, 161MB/s] Some weights of DistilBertForSequenceClassification were not initialized from the model checkpoint at distilbert-base-uncased and are newly initialized: ['classifier.bias', 'classifier.weight', 'pre_classifier.bias', 'pre_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 "/home/user/app/app.py", line 51, in <module> models[model_name].load_state_dict(torch.load(f"best_model_{model_file_name}.pth", map_location=torch.device('cpu'))) File "/usr/local/lib/python3.10/site-packages/torch/serialization.py", line 1479, in load with _open_file_like(f, "rb") as opened_file: File "/usr/local/lib/python3.10/site-packages/torch/serialization.py", line 759, in _open_file_like return _open_file(name_or_buffer, mode) File "/usr/local/lib/python3.10/site-packages/torch/serialization.py", line 740, in __init__ super().__init__(open(name, mode)) FileNotFoundError: [Errno 2] No such file or directory: 'best_model_distilbert-base-uncased.pth'

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