Skip test_aware_training_quantization test

[nikita-savelyevv]

What does this PR do?

tests/openvino/test_quantization.py::OVTrainerTest::test_aware_training_quantization_0_albert test fails in pre-commit tests since OpenVINO 2025.0 release with the following error:

RuntimeError: Exception from src/inference/src/cpp/infer_request.cpp:223:
Exception from src/plugins/intel_cpu/src/node.cpp:797:
[CPU] Subgraph node with name '/albert/encoder/albert_layer_groups.5/albert_layers.0/attention/AlbertForSequenceClassification/AlbertModel[albert]/AlbertTransformer[encoder]/ModuleList[albert_layer_groups]/AlbertLayerGroup[5]/ModuleList[albert_layers]/AlbertLayer[0]/AlbertAttention[attention]/matmul_1|OUTPUT/FakeQuantize' Exception from src/plugins/intel_cpu/src/transformations/snippets/x64/op/brgemm_utils.cpp:47:
ov::intel_cpu::brgemm_utils: Unsupported hardware configuration: int8 is supported only on vnni platforms

Seems like the hosts running pre-commits on github do not support VNNI instructions. The whole quantization aware training logic is planned to be deprecated soon so it was decided to skip this test.

Fixes # (issue)

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