rerank : use [SEP] token instead of [BOS]
ggml-ci
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2 changed files with 4 additions and 3 deletions
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@ -751,7 +751,8 @@ function gg_run_rerank_tiny {
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model_f16="${path_models}/ggml-model-f16.gguf"
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(time ./bin/llama-embedding --model ${model_f16} -p "what is panda?</s><s>hi\nwhat is panda?</s><s>it's a bear\nwhat is panda?</s><s>The giant panda (Ailuropoda melanoleuca), sometimes called a panda bear or simply panda, is a bear species endemic to China." --pooling rank --embd-normalize -1 --verbose-prompt) 2>&1 | tee -a $OUT/${ci}-rk-f16.log
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# for this model, the SEP token is "</s>"
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(time ./bin/llama-embedding --model ${model_f16} -p "what is panda?</s></s>hi\nwhat is panda?</s></s>it's a bear\nwhat is panda?</s></s>The giant panda (Ailuropoda melanoleuca), sometimes called a panda bear or simply panda, is a bear species endemic to China." --pooling rank --embd-normalize -1 --verbose-prompt) 2>&1 | tee -a $OUT/${ci}-rk-f16.log
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# sample output
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# rerank score 0: 0.029
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@ -2027,7 +2027,7 @@ struct server_context {
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continue;
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}
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// prompt: <s>query</s><s>doc</s>
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// prompt: [BOS]query[EOS][SEP]doc[EOS]
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prompt_tokens.clear();
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prompt_tokens.push_back(llama_token_bos(model));
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{
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@ -2035,7 +2035,7 @@ struct server_context {
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prompt_tokens.insert(prompt_tokens.end(), part.begin(), part.end());
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}
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prompt_tokens.push_back(llama_token_eos(model));
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prompt_tokens.push_back(llama_token_bos(model));
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prompt_tokens.push_back(llama_token_sep(model));
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{
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const auto part = tokenize(slot.prompt[1], false);
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prompt_tokens.insert(prompt_tokens.end(), part.begin(), part.end());
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