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[BIT-484] Server/validator improvements (TextCausalLMNext) #852
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Generative default expects most recent token on right-hand side with padding on left. huggingface/transformers#10552
Do not reuse model outputs from TextCausalLM, since the padding side differs.
New axons will gradually increase in weighting as the number of successfully responded queries grows. This ensures that sufficient observations are averaged before weighting to address potentially noisy validation measures.
…into BIT-484-7-TextCausalLMNext-dev # Conflicts: # bittensor/_neuron/text/core_server/nucleus_impl.py
More models, like OPT, are supported by TextCausalLMNext than TextCausalLM that requires fast tokenizers. Validation table sorted according to more populated synapse provides better view.
Otherwise some synapses like TextSeq2Seq with model_output=None will overwrite previous (potentially) non-None model_output.
To complement the existing phrase cross entropy loss, and to allow for more direct comparison to TextCausalLM.
Pull Request Test Coverage Report for Build 0febfdd3-ca3e-4d28-b483-65e1b15a6c30
💛 - Coveralls |
Transformer models like gerpt2 typically perform worse with left-side attention mask, so turning it off.
Eugene-hu
approved these changes
Jul 26, 2022
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LGTM! Amazing work!
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BIT-484 Server/validator improvements (TextCausalLMNext)
Various synapse improvements, highlights include:
Tested branch successfully for core_server and core_validator on CUDA, including running facebook/opt-13b.