Delete hidden_size and num_attention_heads modification in a config #198
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Previous to this PR, the config is modified to smaller (not significant smaller) to speed up the model run/export on the benchmark. However, there is a hard requirements on LLMs that "
embed_dimmust be divisible by num_heads" (e.g.: https://github.com/huggingface/transformers/blob/main/src/transformers/models/gpt2/modeling_gpt2.py#L175-L178).This PR deletes the lines of code that modifies those attributes, because (1) reduce num_layers should be enough for speedy model run/export, (2) conditionally adjust these attributes might affect model performance (deviate from its design)