runtime error

Exit code: 1. Reason: n: 100%|██████████| 483/483 [00:00<00:00, 4.68MB/s] model.safetensors: 0%| | 0.00/268M [00:00<?, ?B/s] model.safetensors: 50%|████▉ | 134M/268M [00:01<00:01, 119MB/s] model.safetensors: 100%|██████████| 268M/268M [00:01<00:00, 160MB/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. adapter_model.safetensors: 0%| | 0.00/2.52M [00:00<?, ?B/s] adapter_model.safetensors: 100%|██████████| 2.52M/2.52M [00:00<00:00, 12.7MB/s] Traceback (most recent call last): File "/home/user/app/app.py", line 9, in <module> model = PeftModel.from_pretrained(base, model_id) File "/usr/local/lib/python3.10/site-packages/peft/peft_model.py", line 555, in from_pretrained load_result = model.load_adapter( File "/usr/local/lib/python3.10/site-packages/peft/peft_model.py", line 1326, in load_adapter load_result = set_peft_model_state_dict( File "/usr/local/lib/python3.10/site-packages/peft/utils/save_and_load.py", line 524, in set_peft_model_state_dict load_result = model.load_state_dict(peft_model_state_dict, strict=False) File "/usr/local/lib/python3.10/site-packages/torch/nn/modules/module.py", line 2629, in load_state_dict raise RuntimeError( RuntimeError: Error(s) in loading state_dict for PeftModelForSequenceClassification: size mismatch for base_model.model.classifier.modules_to_save.default.weight: copying a param with shape torch.Size([3, 768]) from checkpoint, the shape in current model is torch.Size([2, 768]). size mismatch for base_model.model.classifier.modules_to_save.default.bias: copying a param with shape torch.Size([3]) from checkpoint, the shape in current model is torch.Size([2]).

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