while evaluation I am getting this type of error

[ankitmandal24]

(head): Linear(in_features=1024, out_features=5, bias=True) (fc_norm): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) ) [23:45:32.000215] number of params (M): 303.31 [23:45:32.000232] base lr: 1.00e-03 [23:45:32.000243] actual lr: 2.50e-04 [23:45:32.000252] accumulate grad iterations: 1 [23:45:32.000260] effective batch size: 64 [23:45:32.003118] criterion = LabelSmoothingCrossEntropy() Traceback (most recent call last): File "main_finetune.py", line 377, in main(args) File "main_finetune.py", line 315, in main misc.load_model(args=args, model_without_ddp=model_without_ddp, optimizer=optimizer, loss_scaler=loss_scaler) File "/home/ak/Desktop/test/RETFound_MAE/util/misc.py", line 316, in load_model model_without_ddp.load_state_dict(checkpoint['model']) File "/home/ak/anaconda3/envs/retfound/lib/python3.7/site-packages/torch/nn/modules/module.py", line 1224, in load_state_dict self.class.name, "\n\t".join(error_msgs))) RuntimeError: Error(s) in loading state_dict for VisionTransformer: Missing key(s) in state_dict: "head.weight", "head.bias", "fc_norm.weight", "fc_norm.bias". Unexpected key(s) in state_dict: "mask_token", "decoder_pos_embed", "norm.weight", "norm.bias", "decoder_embed.weight", "decoder_embed.bias", "decoder_blocks.0.norm1.weight", "decoder_blocks.0.norm1.bias", "decoder_blocks.0.attn.qkv.weight", "decoder_blocks.0.attn.qkv.bias", "decoder_blocks.0.attn.proj.weight", "decoder_blocks.0.attn.proj.bias", "decoder_blocks.0.norm2.weight", "decoder_blocks.0.norm2.bias", "decoder_blocks.0.mlp.fc1.weight", "decoder_blocks.0.mlp.fc1.bias", "decoder_blocks.0.mlp.fc2.weight", "decoder_blocks.0.mlp.fc2.bias", "decoder_blocks.1.norm1.weight", "decoder_blocks.1.norm1.bias", "decoder_blocks.1.attn.qkv.weight", "decoder_blocks.1.attn.qkv.bias", "decoder_blocks.1.attn.proj.weight", "decoder_blocks.1.attn.proj.bias", "decoder_blocks.1.norm2.weight", "decoder_blocks.1.norm2.bias", "decoder_blocks.1.mlp.fc1.weight", "decoder_blocks.1.mlp.fc1.bias", "decoder_blocks.1.mlp.fc2.weight", "decoder_blocks.1.mlp.fc2.bias", "decoder_blocks.2.norm1.weight", "decoder_blocks.2.norm1.bias", "decoder_blocks.2.attn.qkv.weight", "decoder_blocks.2.attn.qkv.bias", "decoder_blocks.2.attn.proj.weight", "decoder_blocks.2.attn.proj.bias", "decoder_blocks.2.norm2.weight", "decoder_blocks.2.norm2.bias", "decoder_blocks.2.mlp.fc1.weight", "decoder_blocks.2.mlp.fc1.bias", "decoder_blocks.2.mlp.fc2.weight", "decoder_blocks.2.mlp.fc2.bias", "decoder_blocks.3.norm1.weight", "decoder_blocks.3.norm1.bias", "decoder_blocks.3.attn.qkv.weight", "decoder_blocks.3.attn.qkv.bias", "decoder_blocks.3.attn.proj.weight", "decoder_blocks.3.attn.proj.bias", "decoder_blocks.3.norm2.weight", "decoder_blocks.3.norm2.bias", "decoder_blocks.3.mlp.fc1.weight", "decoder_blocks.3.mlp.fc1.bias", "decoder_blocks.3.mlp.fc2.weight", "decoder_blocks.3.mlp.fc2.bias", "decoder_blocks.4.norm1.weight", "decoder_blocks.4.norm1.bias", "decoder_blocks.4.attn.qkv.weight", "decoder_blocks.4.attn.qkv.bias", "decoder_blocks.4.attn.proj.weight", "decoder_blocks.4.attn.proj.bias", "decoder_blocks.4.norm2.weight", "decoder_blocks.4.norm2.bias", "decoder_blocks.4.mlp.fc1.weight", "decoder_blocks.4.mlp.fc1.bias", "decoder_blocks.4.mlp.fc2.weight", "decoder_blocks.4.mlp.fc2.bias", "decoder_blocks.5.norm1.weight", "decoder_blocks.5.norm1.bias", "decoder_blocks.5.attn.qkv.weight", "decoder_blocks.5.attn.qkv.bias", "decoder_blocks.5.attn.proj.weight", "decoder_blocks.5.attn.proj.bias", "decoder_blocks.5.norm2.weight", "decoder_blocks.5.norm2.bias", "decoder_blocks.5.mlp.fc1.weight", "decoder_blocks.5.mlp.fc1.bias", "decoder_blocks.5.mlp.fc2.weight", "decoder_blocks.5.mlp.fc2.bias", "decoder_blocks.6.norm1.weight", "decoder_blocks.6.norm1.bias", "decoder_blocks.6.attn.qkv.weight", "decoder_blocks.6.attn.qkv.bias", "decoder_blocks.6.attn.proj.weight", "decoder_blocks.6.attn.proj.bias", "decoder_blocks.6.norm2.weight", "decoder_blocks.6.norm2.bias", "decoder_blocks.6.mlp.fc1.weight", "decoder_blocks.6.mlp.fc1.bias", "decoder_blocks.6.mlp.fc2.weight", "decoder_blocks.6.mlp.fc2.bias", "decoder_blocks.7.norm1.weight", "decoder_blocks.7.norm1.bias", "decoder_blocks.7.attn.qkv.weight", "decoder_blocks.7.attn.qkv.bias", "decoder_blocks.7.attn.proj.weight", "decoder_blocks.7.attn.proj.bias", "decoder_blocks.7.norm2.weight", "decoder_blocks.7.norm2.bias", "decoder_blocks.7.mlp.fc1.weight", "decoder_blocks.7.mlp.fc1.bias", "decoder_blocks.7.mlp.fc2.weight", "decoder_blocks.7.mlp.fc2.bias", "decoder_norm.weight", "decoder_norm.bias", "decoder_pred.weight", "decoder_pred.bias".