runtime error

Exit code: 1. Reason: transformer_norm.bias", "pre_logits.0.weight", "pre_logits.0.bias", "pre_logits.2.weight", "pre_logits.2.bias", "classifier.weight", "classifier.bias", "aux_head.0.weight", "aux_head.0.bias", "aux_head.2.weight", "aux_head.2.bias", "meta_encoder.4.weight", "meta_encoder.4.bias", "meta_encoder.5.weight", "meta_encoder.5.bias", "meta_encoder.8.weight", "meta_encoder.8.bias", "meta_encoder.9.weight", "meta_encoder.9.bias", "meta_encoder.1.weight", "meta_encoder.1.bias". size mismatch for transformer.layers.0.linear1.weight: copying a param with shape torch.Size([3072, 768]) from checkpoint, the shape in current model is torch.Size([2048, 768]). size mismatch for transformer.layers.0.linear1.bias: copying a param with shape torch.Size([3072]) from checkpoint, the shape in current model is torch.Size([2048]). size mismatch for transformer.layers.0.linear2.weight: copying a param with shape torch.Size([768, 3072]) from checkpoint, the shape in current model is torch.Size([768, 2048]). size mismatch for transformer.layers.1.linear1.weight: copying a param with shape torch.Size([3072, 768]) from checkpoint, the shape in current model is torch.Size([2048, 768]). size mismatch for transformer.layers.1.linear1.bias: copying a param with shape torch.Size([3072]) from checkpoint, the shape in current model is torch.Size([2048]). size mismatch for transformer.layers.1.linear2.weight: copying a param with shape torch.Size([768, 3072]) from checkpoint, the shape in current model is torch.Size([768, 2048]). size mismatch for transformer.layers.2.linear1.weight: copying a param with shape torch.Size([3072, 768]) from checkpoint, the shape in current model is torch.Size([2048, 768]). size mismatch for transformer.layers.2.linear1.bias: copying a param with shape torch.Size([3072]) from checkpoint, the shape in current model is torch.Size([2048]). size mismatch for transformer.layers.2.linear2.weight: copying a param with shape torch.Size([768, 3072]) from checkpoint, the shape in current model is torch.Size([768, 2048]).

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