bge-reranker-v2-minicpm-layerwise微调报错

[yvway]

[rank0]: Traceback (most recent call last):
[rank0]: File "/home/yw/.conda/envs/bge/lib/python3.10/runpy.py", line 196, in _run_module_as_main
[rank0]: return _run_code(code, main_globals, None,
[rank0]: File "/home/yw/.conda/envs/bge/lib/python3.10/runpy.py", line 86, in _run_code
[rank0]: exec(code, run_globals)
[rank0]: File "/home/yw/.conda/envs/bge/lib/python3.10/site-packages/FlagEmbedding/finetune/reranker/decoder_only/layerwise/main.py", line 30, in
[rank0]: main()
[rank0]: File "/home/yw/.conda/envs/bge/lib/python3.10/site-packages/FlagEmbedding/finetune/reranker/decoder_only/layerwise/main.py", line 21, in main
[rank0]: runner = DecoderOnlyRerankerRunner(
[rank0]: File "/home/yw/.conda/envs/bge/lib/python3.10/site-packages/FlagEmbedding/finetune/reranker/decoder_only/layerwise/runner.py", line 33, in init
[rank0]: super().init(model_args, data_args, training_args)
[rank0]: File "/home/yw/.conda/envs/bge/lib/python3.10/site-packages/FlagEmbedding/abc/finetune/reranker/AbsRunner.py", line 73, in init
[rank0]: self.tokenizer, self.model = self.load_tokenizer_and_model()
[rank0]: File "/home/yw/.conda/envs/bge/lib/python3.10/site-packages/FlagEmbedding/finetune/reranker/decoder_only/layerwise/runner.py", line 68, in load_tokenizer_and_model
[rank0]: base_model = get_model(self.model_args, tokenizer('Yes', add_special_tokens=False)['input_ids'][-1])
[rank0]: File "/home/yw/.conda/envs/bge/lib/python3.10/site-packages/FlagEmbedding/finetune/reranker/decoder_only/layerwise/load_model.py", line 131, in get_model
[rank0]: model = LayerWiseMiniCPMForCausalLM.from_pretrained(
[rank0]: File "/home/yw/.conda/envs/bge/lib/python3.10/site-packages/transformers/modeling_utils.py", line 4072, in from_pretrained
[rank0]: model = cls(config, *model_args, **model_kwargs)
[rank0]: File "/home/yw/.conda/envs/bge/lib/python3.10/site-packages/FlagEmbedding/finetune/reranker/decoder_only/layerwise/modeling_minicpm_reranker.py", line 1150, in init
[rank0]: self.model = LayerWiseMiniCPMModel(config)
[rank0]: File "/home/yw/.conda/envs/bge/lib/python3.10/site-packages/FlagEmbedding/finetune/reranker/decoder_only/layerwise/modeling_minicpm_reranker.py", line 973, in init
[rank0]: [MiniCPMDecoderLayer(config, layer_idx) for layer_idx in range(config.num_hidden_layers)]
[rank0]: File "/home/yw/.conda/envs/bge/lib/python3.10/site-packages/FlagEmbedding/finetune/reranker/decoder_only/layerwise/modeling_minicpm_reranker.py", line 973, in
[rank0]: [MiniCPMDecoderLayer(config, layer_idx) for layer_idx in range(config.num_hidden_layers)]
[rank0]: File "/home/yw/.conda/envs/bge/lib/python3.10/site-packages/FlagEmbedding/finetune/reranker/decoder_only/layerwise/modeling_minicpm_reranker.py", line 770, in init
[rank0]: self.self_attn = MINICPM_ATTENTION_CLASSES[config._attn_implementation](config=config, layer_idx=layer_idx)
[rank0]: File "/home/yw/.conda/envs/bge/lib/python3.10/site-packages/FlagEmbedding/finetune/reranker/decoder_only/layerwise/modeling_minicpm_reranker.py", line 336, in init
[rank0]: self._init_rope()
[rank0]: File "/home/yw/.conda/envs/bge/lib/python3.10/site-packages/FlagEmbedding/finetune/reranker/decoder_only/layerwise/modeling_minicpm_reranker.py", line 346, in _init_rope
[rank0]: scaling_type = self.config.rope_scaling["type"]
[rank0]: KeyError: 'type'